Commit 79d24d2f95807726f6d190231d74012bd3cebf27

Authored by Miguel Tuñón
1 parent 14bd0644

Checked until geolocat analysis and graphs

Showing 97 changed files with 503 additions and 298 deletions
ISO27001effectiveness/R/ReportGraphs.R
... ... @@ -3,81 +3,170 @@
3 3 #-------------------------General evolution----------------------
4 4 #----------------------------------------------------------------
5 5  
6   -GetAttacksEvolution <- function(Attacks){
7 6  
8   - attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year)
  7 +#' Return graph representing the general attacks evolution by year
  8 +#'
  9 +#' @param Attacks data.frame with procesed source data
  10 +#' @param point.vjust Vector of vertical just to each point label
  11 +#' @param point.hjust Vector of Horizontal just to each point label
  12 +#' @param iso2013.y Vertical position to ISO27001:2013 label
  13 +#' @param iso2013.label.hjust Horizontal just to ISO27001:2013 label
  14 +#' @param smooth.x Horizontal position to smooth slope label
  15 +#' @param smooth.y Vertical position to smooth slope label
  16 +#' @param smooth.label.hjust Horizontal just to smooth slope label
  17 +#'
  18 +#' @return list(graph, slope)
  19 +#' @export
  20 +GetAttacksEvolution <- function(Attacks,
  21 + point.vjust = 0,
  22 + point.hjust = 0,
  23 + iso2013.y = 0,
  24 + iso2013.label.hjust = 0,
  25 + smooth.x = 0,
  26 + smooth.y = 0,
  27 + smooth.label.hjust = 0){
  28 +
  29 + #Extracting year from date
  30 + attacks.evol <- dplyr::mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
  31 + dplyr::group_by(Year)#Grouping by year
  32 + #Counting attacks each year
9 33 attacks.evol <- as.data.frame(table(attacks.evol$Year))
10 34 colnames(attacks.evol) <- c("Year","Attacks")
11 35  
12   - graph1 <- ggplot2::qplot(main = "Cyberattacks evolution",
13   - x = attacks.evol$Year,
14   - y = attacks.evol$Attacks,
15   - group = 1,
16   - xlab = "Years",
17   - ylab = "Attacks",
18   - data = attacks.evol,
19   - geom = "line") +
20   - geom_point() +
21   - geom_label(aes(label=attacks.evol$Attacks),
22   - vjust=c(1.5, 0, 0, -0.5, -0.5),
23   - hjust=c(0.5, -0.5, 1.5, 0, 0))+
24   - theme(plot.title = element_text(hjust = 0.5))
25   -
26   - graph1
  36 + #Slope of smooth
  37 + attacks.evol.slope <- lm(formula = Attacks ~ as.numeric(Year),
  38 + data = attacks.evol)$coef[[2]]
  39 + #Graph
  40 + attacks.evol.graph <- ggplot2::qplot(main = "Cyberattacks evolution",
  41 + x = attacks.evol$Year,
  42 + y = attacks.evol$Attacks,
  43 + group = 1,
  44 + xlab = "Years",
  45 + ylab = "Attacks",
  46 + data = attacks.evol,
  47 + geom = "line") +
  48 + ggplot2::geom_point() +
  49 + ggplot2::geom_label(aes(label=attacks.evol$Attacks),
  50 + vjust = point.vjust,
  51 + hjust = point.hjust)+
  52 + ggplot2::theme(plot.title = element_text(hjust = 0.5)) +
  53 + ggplot2::geom_smooth(method = "lm", se = FALSE) +
  54 + ggplot2::geom_label(aes(x = smooth.x, y = smooth.y,
  55 + label = paste("Slope =",
  56 + signif(attacks.evol.slope))),
  57 + color = "blue",
  58 + hjust = smooth.label.hjust) +
  59 + ggplot2::geom_vline(xintercept = 3,
  60 + color = "Red",
  61 + linetype = "longdash") +
  62 + ggplot2::geom_label(aes(x = "2014", y = iso2013.y,
  63 + label = "ISO27001:2013 effects"),
  64 + color = "Red",
  65 + hjust = iso2013.label.hjust)
  66 +
  67 + list(attacks.evol.graph, attacks.evol.slope)
27 68  
28 69 }
29 70  
30   -GetCertsEvolution <- function(Certs){
31   -
32   - Certs.evol <- data.frame(Year = c(2011, 2012, 2013, 2014, 2015),
33   - Certs = c(sum(Certs$X2011),
34   - sum(Certs$X2012),
35   - sum(Certs$X2013),
36   - sum(Certs$X2014),
37   - sum(Certs$X2015)))
38   -
39   - graph1 <- ggplot2::qplot(main = "ISO 27001 evolution",
  71 +#' Return graph representing the general ISO27001 evolution
  72 +#'
  73 +#' @param Cert_PerCountry data.frame with procesed source data
  74 +#' @param point.vjust Vector of vertical just to each point label
  75 +#' @param point.hjust Vector of Horizontal just to each point label
  76 +#' @param iso2013.y Vertical position to ISO27001:2013 label
  77 +#' @param iso2013.label.hjust Horizontal just to ISO27001:2013 label
  78 +#' @param smooth.x Horizontal position to smooth slope label
  79 +#' @param smooth.y Vertical position to smooth slope label
  80 +#' @param smooth.label.hjust Horizontal just to smooth slope label
  81 +#'
  82 +#' @return list(graph, slope)
  83 +#' @export
  84 +GetCertsEvolution <- function(Cert_PerCountry,
  85 + point.vjust = 0,
  86 + point.hjust = 0,
  87 + iso2013.y = 0,
  88 + iso2013.label.hjust = 0,
  89 + smooth.x = 0,
  90 + smooth.y = 0,
  91 + smooth.label.hjust = 0){
  92 +
  93 + #Years from columns to rows in 1 column
  94 + Certs.evol <- tidyr::gather(Cert_PerCountry, "Year", "Count", 2:6)
  95 + #Group by year
  96 + Certs.evol <- dplyr::group_by(Certs.evol, Year)
  97 + #Sum counts to 1 row for each year
  98 + Certs.evol <- dplyr::summarise(Certs.evol, Count = sum(Count))
  99 + #Removing X from years
  100 + Certs.evol$Year <- substr(Certs.evol$Year, 2, 5)
  101 +
  102 + #Slope of smooth
  103 + Certs.evol.slope <- lm(formula = Count ~ as.numeric(Year),
  104 + data = Certs.evol)$coef[[2]]
  105 + #Graph
  106 + Certs.evol.graph <- ggplot2::qplot(main = "ISO 27001 evolution",
40 107 x = Certs.evol$Year,
41   - y = Certs.evol$Certs,
  108 + y = Certs.evol$Count,
42 109 group = 1,
43 110 xlab = "Years",
44 111 ylab = "Certifications",
45 112 data = Certs.evol,
46 113 geom = "line") +
47 114 geom_point() +
48   - geom_label(aes(label=Certs.evol$Certs),
49   - vjust=c(0.2, -0.7, 0, 0, 0.5),
50   - hjust=c(-0.6, 1, 1.2, 1.2, 1.2))+
51   - theme(plot.title = element_text(hjust = 0.5))
52   -
53   - graph1
  115 + geom_label(aes(label=Certs.evol$Count),
  116 + vjust = point.vjust,
  117 + hjust = point.hjust)+
  118 + theme(plot.title = element_text(hjust = 0.5)) +
  119 + ggplot2::geom_smooth(method = "lm", se = FALSE) +
  120 + ggplot2::geom_label(aes(x = smooth.x, y = smooth.y,
  121 + label = paste("Slope =",
  122 + signif(Certs.evol.slope))),
  123 + color = "blue",
  124 + hjust = smooth.label.hjust)+
  125 + ggplot2::geom_vline(xintercept = 3,
  126 + color = "Red",
  127 + linetype = "longdash") +
  128 + ggplot2::geom_label(aes(x = "2014", y = iso2013.y,
  129 + label = "ISO27001:2013 changes"),
  130 + color = "Red",
  131 + hjust = iso2013.label.hjust)
  132 +
  133 + list(Certs.evol.graph, Certs.evol.slope)
54 134  
55 135 }
56 136  
  137 +#' Return graph representing the general attacks evolution by month
  138 +#'
  139 +#' @param Attacks data.frame with procesed source data
  140 +#'
  141 +#' @return graph
  142 +#' @export
57 143 GetAttacksMonthEvolution <- function(Attacks){
58 144  
59   - attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y-%m")) %>% group_by(Year)
  145 + #Extract Year - Month from date
  146 + attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y-%m")) %>%
  147 + group_by(Year)
  148 + #Group by Year - Month
60 149 attacks.evol <- as.data.frame(table(attacks.evol$Year))
61 150 colnames(attacks.evol) <- c("Year","Attacks")
62 151  
63   - graph1 <- ggplot2::qplot(main = "Cyberattacks evolution",
64   - x = attacks.evol$Year,
65   - y = attacks.evol$Attacks,
66   - group = 1,
67   - xlab = "Months",
68   - ylab = "Attacks",
69   - data = attacks.evol,
70   - geom = "line") +
  152 + #Graph
  153 + ggplot2::qplot(main = "Cyberattacks evolution",
  154 + x = attacks.evol$Year,
  155 + y = attacks.evol$Attacks,
  156 + group = 1,
  157 + xlab = "Months",
  158 + ylab = "Attacks",
  159 + data = attacks.evol,
  160 + geom = "line") +
71 161 geom_point() +
72 162 theme(plot.title = element_text(hjust = 0.5)) +
73 163 geom_smooth(method = 'loess') +
74   - scale_x_discrete(labels = c("2012", "", "", "", "", "", "", "", "", "", "", "",
75   - "2013", "", "", "", "", "", "", "", "", "", "", "",
76   - "2014", "", "", "", "", "", "", "", "", "", "", "",
77   - "2015", "", "", "", "", "", "", "", "", "", "", "",
78   - "2016", "", "", "", "", "", "", "", "", "", "", ""))
  164 + scale_x_discrete(labels = c("2012/01", "", "", "", "", "", "2012/07", "", "", "", "", "",
  165 + "2013/01", "", "", "", "", "", "2013/07", "", "", "", "", "",
  166 + "2014/01", "", "", "", "", "", "2014/07", "", "", "", "", "",
  167 + "2015/01", "", "", "", "", "", "2015/07", "", "", "", "", "",
  168 + "2016/01", "", "", "", "", "", "2016/07", "", "", "", "", ""))
79 169  
80   - graph1
81 170  
82 171 }
83 172  
... ... @@ -85,175 +174,126 @@ GetAttacksMonthEvolution &lt;- function(Attacks){
85 174 #-------------------------Attack type evolution------------------
86 175 #----------------------------------------------------------------
87 176  
88   -GetAttackTypePie <- function (Attacks){
89 177  
  178 +#' Return pie graph to show % of each attack type
  179 +#'
  180 +#' @param Attacks data.frame with procesed source data
  181 +#' @param label.vjust Vector of vertical just to each portion label
  182 +#' @param label.hjust Vector of horizontal just to each portion label
  183 +#'
  184 +#' @return list(graph, AttackTypeShowedList)
  185 +#' @export
  186 +GetAttackTypePie <- function (Attacks,
  187 + label.vjust = 0,
  188 + label.hjust = 0){
  189 +
  190 + #Group by attack type
90 191 attack.pie <- group_by(Attacks, Attack.standar)
  192 + #Counting rows for each attack type
91 193 attack.pie <- as.data.frame(table(attack.pie$Attack.standar))
92 194 attack.pie <- setNames(attack.pie, c("Attack", "Count"))
93 195  
  196 + #Removing rows without attack type defined
94 197 attack.pie <- attack.pie[attack.pie$Attack != "",]
  198 + #Removing attacks with less than 1% of representation from total
95 199 attack.pie <- attack.pie[attack.pie$Count > (sum(attack.pie$Count) * 0.01),]
  200 + #Calc % of each attack type
  201 + attack.pie <- mutate(attack.pie, Perc=paste(round(100 * attack.pie$Count / sum(attack.pie$Count), 2), "%"))
96 202  
97   - graph1 <- ggplot(data=attack.pie,
98   - aes(x=factor(1),
99   - y=Count,
100   - fill=Attack)) +
101   - geom_col(width = 1, color='black') +
102   -# geom_label(aes(label=paste( round(x = 100 - (sum(attack.pie$Count) / attack.pie$Count), digits = 2), "%")),
103   -# vjust=c(0),
104   -# hjust=c(0)) +
105   - coord_polar(theta="y") +
106   - scale_x_discrete(labels = c("")) +
107   - scale_y_discrete(labels = c("")) +
108   - theme(plot.title = element_text(hjust = 0.5),
109   - axis.title.x=element_blank(),
110   - axis.title.y=element_blank()) +
111   - ggtitle("Attacks pie")
112 203  
113   - graph1
  204 + #Graph
  205 + graph1 <- ggplot(data=attack.pie,
  206 + aes(x=factor(1),
  207 + y=Count,
  208 + fill=Attack)) +
  209 + geom_col(width = 1, color='black') +
  210 + geom_label(aes(label = attack.pie$Perc),
  211 + vjust = label.vjust,
  212 + hjust = label.hjust) +
  213 + coord_polar(theta="y") +
  214 + scale_x_discrete(labels = c("")) +
  215 + scale_y_discrete(labels = c("")) +
  216 + theme(plot.title = element_text(hjust = 0.5),
  217 + axis.title.x=element_blank(),
  218 + axis.title.y=element_blank()) +
  219 + ggtitle("Attack types")
  220 +
  221 + #Returning graph and attack list
  222 + list(graph1, unique(attack.pie$Attack))
114 223 }
115 224  
116   -GetAttackTypeEvolution <- function(Attacks){
117   - Attacks.pre <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year, Attack.standar)
118   - Attacks.pre <- as.data.frame(table(Attacks.pre$Year, Attacks.pre$Attack.standar))
119   - Attacks.pre <- setNames(Attacks.pre, c("Year", "Attack", "Count"))
120   - Attacks.pre <- Attacks.pre[Attacks.pre$Attack != "",]
121   - Attacks.pre <- plyr::arrange(Attacks.pre, Year, Attack)
122   -
123   -
124   - b <- as.character(sort(unique(Attacks.pre$Attack)))
125   -
126   - Attacks.desg <- data.frame(Year = sort(unique(Attacks.pre$Year)))
127   -
128   - for (i in 1:length(b)) {
129   - Attacks.desg <- cbind(Attacks.desg, Attacks.pre[Attacks.pre$Attack == b[i],3])
130   - }
131   -
132   - Attacks.desg <- setNames(Attacks.desg, c("Year", gsub(" ", ".", b)))
133   -
134   - Attacks.desg <- select(Attacks.desg, Year, `Account.Hijacking`, `DDoS`, `Defacement`, `DNS`, `Injection`, `Malware`)
135   -
136   - graph1 <- ggplot(data = Attacks.desg,
137   - aes_string(x = colnames(Attacks.desg)[1]))
138   -
139   - graph1 <- graph1 +
140   -
141   - #geom_line(aes(y = Zero.day, group = 1, colour = "Zero.day")) +
142   - #geom_point(aes(y = Zero.day, group = 1, colour = "Zero.day")) +
143   -
144   - geom_line(aes(y = `Account.Hijacking`, group = 1, colour = "Account.Hijacking")) +
145   - geom_point(aes(y = `Account.Hijacking`, group = 1, colour = "Account.Hijacking")) +
146   -
147   - geom_line(aes(y = `DDoS`, group = 1, colour = "DDoS")) +
148   - geom_point(aes(y = `DDoS`, group = 1, colour = "DDoS")) +
149   -
150   - geom_line(aes(y = `Defacement`, group = 1, colour = "Defacement")) +
151   - geom_point(aes(y = `Defacement`, group = 1, colour = "Defacement")) +
152   -
153   - geom_line(aes(y = `DNS`, group = 1, colour = "DNS")) +
154   - geom_point(aes(y = `DNS`, group = 1, colour = "DNS")) +
155   -
156   - geom_line(aes(y = `Injection`, group = 1, colour = "Injection")) +
157   - geom_point(aes(y = `Injection`, group = 1, colour = "Injection")) +
158   -
159   - geom_line(aes(y = `Malware`, group = 1, colour = "Malware")) +
160   - geom_point(aes(y = `Malware`, group = 1, colour = "Malware")) +
161   -
162   - theme(plot.title = element_text(hjust = 0.5)) +
163   - ggtitle("Attack type evolution") +
164   - labs(colour = "Attack type") + xlab("Years") + ylab("Attacks")
165   -
166   - graph1
167 225  
168   - }
169   -
170   -GetAttackTypeTopEvolution <- function(Attacks){
171   - Attacks.pre <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year, Attack.standar)
  226 +#' Return graph to show the evolution of a attack types list
  227 +#'
  228 +#' @param Attacks data.frame with procesed source data
  229 +#' @param TypeList List with attack types to show
  230 +#'
  231 +#' @return list(graph, data.frame with TypeList attacks data by year)
  232 +#' @export
  233 +GetAttackTypeEvolution <- function(Attacks, TypeList){
  234 + #Obtaining year from date
  235 + Attacks.pre <- dplyr::mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
  236 + group_by(Year, Attack.standar) #group by attack type
  237 + #Count rows for each attack type and each year
172 238 Attacks.pre <- as.data.frame(table(Attacks.pre$Year, Attacks.pre$Attack.standar))
173 239 Attacks.pre <- setNames(Attacks.pre, c("Year", "Attack", "Count"))
174   - Attacks.pre <- Attacks.pre[Attacks.pre$Attack != "",]
175   - Attacks.pre <- plyr::arrange(Attacks.pre, Year, Attack)
176   -
177   - b <- as.character(sort(unique(Attacks.pre$Attack)))
178   -
179   - Attacks.desg <- data.frame(Year = sort(unique(Attacks.pre$Year)))
  240 + #Removing rows without an attack type specified
  241 + Attacks.pre <- Attacks.pre[Attacks.pre$Attack %in% TypeList,]
  242 +
  243 + #Graph
  244 + graph1 <- ggplot(data = Attacks.pre,
  245 + aes(x = Year,
  246 + y = Count,
  247 + color = Attack,
  248 + group = Attack)) +
  249 + geom_point() +
  250 + geom_line() +
  251 + theme(plot.title = element_text(hjust = 0.5)) +
  252 + ggtitle("Attack type evolution") +
  253 + labs(colour = "Attack type") + xlab("Years") + ylab("Attacks")
  254 + #Return graph and used data to separate representation
  255 + list(graph1, Attacks.pre)
180 256  
181   - for (i in 1:length(b)) {
182   - Attacks.desg <- cbind(Attacks.desg, Attacks.pre[Attacks.pre$Attack == b[i],3])
183 257 }
184 258  
185   - Attacks.desg <- setNames(Attacks.desg, c("Year", b))
186   -
187   - Attacks.desg <- select(Attacks.desg, Year, `Account Hijacking`, `DDoS`, `Defacement`, `DNS`, `Injection`, `Malware`)
188   -
189   - graph1 <- ggplot(data = Attacks.desg,
190   - aes(x = Year, y = `DDoS`, group = 1)) +
191   -
192   - geom_line() +
193   - geom_point() +
194   -
195   - theme(plot.title = element_text(hjust = 0.5)) +
196   - ggtitle("DDoS") +
197   - xlab("Years") + ylab("Attacks")+
198   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
199   -
200   - graph2 <- ggplot(data = Attacks.desg,
201   - aes(x = Year, y = `Defacement`, group = 1)) +
202   -
203   - geom_line() +
204   - geom_point() +
205   -
206   - theme(plot.title = element_text(hjust = 0.5)) +
207   - ggtitle("Defacement") +
208   - xlab("Years") + ylab("Attacks")+
209   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
210   -
211   - graph3 <- ggplot(data = Attacks.desg,
212   - aes(x = Year, y = `Injection`, group = 1)) +
213   -
214   - geom_line() +
215   - geom_point() +
216   -
217   - theme(plot.title = element_text(hjust = 0.5)) +
218   - ggtitle("Injection") +
219   - xlab("Years") + ylab("Attacks")+
220   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
221   -
222   - graph4 <- ggplot(data = Attacks.desg,
223   - aes(x = Year, y = `Account Hijacking`, group = 1)) +
224   -
225   - geom_line() +
226   - geom_point() +
227   -
228   - theme(plot.title = element_text(hjust = 0.5)) +
229   - ggtitle("Account Hijacking") +
230   - xlab("Years") + ylab("Attacks")+
231   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
232   -
233   - graph5 <- ggplot(data = Attacks.desg,
234   - aes(x = Year, y = `Malware`, group = 1)) +
235   -
236   - geom_line() +
237   - geom_point() +
238 259  
239   - theme(plot.title = element_text(hjust = 0.5)) +
240   - ggtitle("Malware") +
241   - xlab("Years") + ylab("Attacks")+
242   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
243   -
244   - graph6 <- ggplot(data = Attacks.desg,
245   - aes(x = Year, y = `DNS`, group = 1)) +
246   -
247   - geom_line() +
248   - geom_point() +
249   -
250   - theme(plot.title = element_text(hjust = 0.5)) +
251   - ggtitle("DNS") +
252   - xlab("Years") + ylab("Attacks")+
253   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
254   -
255   -
256   - list(graph1, graph2, graph3, graph4, graph5, graph6)
  260 +#' Return graph to show the evolution of a single attack type and his smooth
  261 +#'
  262 +#' @param Attacks data.frame with procesed source data
  263 +#' @param AttackType Attack type to represent
  264 +#' @param smooth.x Horizontal position to smooth slope label
  265 +#' @param smooth.y Vertical position to smooth slope label
  266 +#' @param smooth.label.hjust Horizontal just to smooth slope label
  267 +#'
  268 +#' @return list(graph, slope)
  269 +#' @export
  270 +GetAttackTypeSigleEvolution <- function(Attacks,
  271 + AttackType,
  272 + smooth.x = 0,
  273 + smooth.y = 0,
  274 + smooth.label.hjust = 0){
  275 + #Filtering for the AttackType specified
  276 + attacks.evol <- Attacks[Attacks$Attack == AttackType,]
  277 +
  278 + #Cal slope
  279 + slope1 <- lm(formula = Count ~ as.numeric(Year), data = attacks.evol)$coef[[2]]
  280 + #Graph
  281 + graph1 <- ggplot(data = attacks.evol,
  282 + aes(x = Year, y = Count, group = 1)) +
  283 + geom_line() +
  284 + geom_point() +
  285 + theme(plot.title = element_text(hjust = 0.5)) +
  286 + ggtitle(AttackType) +
  287 + xlab("Years") + ylab("Attacks")+
  288 + geom_smooth(method = "lm",
  289 + se = FALSE) +
  290 + geom_label(aes(x = smooth.x, y = smooth.y,
  291 + label = paste("Slope =", signif(slope1, 5))),
  292 + color = "blue",
  293 + hjust = smooth.label.hjust)
  294 +
  295 + #Returning list(graph, slope)
  296 + list(graph1, slope1)
257 297  
258 298 }
259 299  
... ... @@ -261,56 +301,69 @@ GetAttackTypeTopEvolution &lt;- function(Attacks){
261 301 #-------------------------Geolocal evolution---------
262 302 #----------------------------------------------------------------
263 303  
264   -GetContinentPie <- function (Attacks, Cert_PerCountry){
  304 +GetContinentPie <- function (Attacks,
  305 + Attacks.label.vjust = 0,
  306 + Attacks.label.hjust = 0,
  307 + Cert_PerCountry,
  308 + Certs.label.vjust = 0,
  309 + Certs.label.hjust = 0){
265 310  
  311 + #Group attacks by continent
266 312 attack.pie <- group_by(Attacks, Continent)
  313 + #Count attacks for each continent
267 314 attack.pie <- as.data.frame(table(attack.pie$Continent))
268 315 attack.pie <- setNames(attack.pie, c("Continent", "Count"))
269   -
  316 + #Remove rows without Continent specified
270 317 attack.pie <- attack.pie[attack.pie$Continent != "",]
271   - #attack.pie <- attack.pie[attack.pie$Count > (sum(attack.pie$Count) * 0.01),]
  318 + #Calc % of each continent
  319 + attack.pie <- mutate(attack.pie, perc = round(100 * attack.pie$Count / sum(attack.pie$Count), 2))
272 320  
  321 + #Attacks graph
273 322 graph1 <- ggplot(data=attack.pie,
274 323 aes(x=factor(1),
275 324 y=Count,
276 325 fill=Continent)) +
277   - geom_col(width = 1, color='black') +
278   - geom_label(aes(label=paste(round(100 * attack.pie$Count / sum(attack.pie$Count), 2), "%")),
279   - vjust=c(-2.5, 0, 2, 0, -2.5),
280   - hjust=c(1.4, 1, 0.5, 0.5, 0)) +
281   - coord_polar(theta="y") +
282   - scale_x_discrete(labels = c("")) +
283   - scale_y_discrete(labels = c("")) +
284   - theme(plot.title = element_text(hjust = 0.5),
285   - axis.title.x=element_blank(),
286   - axis.title.y=element_blank()) +
287   - ggtitle("Attacks")
288   -
289   - cert.pie <- mutate(Cert_PerCountry, Total = X2011 + X2012 + X2013 + X2014 + X2015) %>%
290   - group_by(Continent)
291   - cert.pie <- data.frame(Continent = c("Asia", "Europe", "Africa", "Americas", "Oceania"),
292   - Count = c(sum((cert.pie[cert.pie$Continent == "Asia",])$Total),
293   - sum((cert.pie[cert.pie$Continent == "Europe",])$Total),
294   - sum((cert.pie[cert.pie$Continent == "Africa",])$Total),
295   - sum((cert.pie[cert.pie$Continent == "Americas",])$Total),
296   - sum((cert.pie[cert.pie$Continent == "Oceania",])$Total)))
  326 + geom_col(width = 1, color='black') +
  327 + geom_label(aes(label=paste(attack.pie$perc, "%")),
  328 + vjust = Attacks.label.vjust,
  329 + hjust = Attacks.label.hjust) +
  330 + coord_polar(theta="y") +
  331 + scale_x_discrete(labels = c("")) +
  332 + scale_y_discrete(labels = c("")) +
  333 + theme(plot.title = element_text(hjust = 0.5),
  334 + axis.title.x=element_blank(),
  335 + axis.title.y=element_blank()) +
  336 + ggtitle("Attacks")
  337 +
  338 +
  339 + #Grouping certifications by continent
  340 + cert.pie <- group_by(Cert_PerCountry, Continent)
  341 + #Counting certificates for each continent
  342 + cert.pie <- dplyr::summarise(cert.pie, Count = sum(X2011 + X2012 + X2013 + X2014 + X2015))
  343 + #Remove rows without Continent specified
  344 + cert.pie <- cert.pie[cert.pie$Continent != "",]
  345 + #Calc % of each continent
  346 + cert.pie <- mutate(cert.pie, perc = round(100 * cert.pie$Count / sum(cert.pie$Count), 2))
  347 +
  348 + #Certifications graph
297 349 graph2 <- ggplot(data=cert.pie,
298 350 aes(x=factor(1),
299 351 y=Count,
300 352 fill=Continent)) +
301   - geom_col(width = 1, color='black') +
302   - geom_label(aes(label=paste(round(100 * cert.pie$Count / sum(cert.pie$Count), 2), "%")),
303   - vjust=c(0, -1.5, -2.5, -2.5, -2.5),
304   - hjust=c(0.5, 0.2, 0.5, 1.8, -0.5)) +
305   - coord_polar(theta="y") +
306   - scale_x_discrete(labels = c("")) +
307   - scale_y_discrete(labels = c("")) +
308   - theme(plot.title = element_text(hjust = 0.5),
309   - axis.title.x=element_blank(),
310   - axis.title.y=element_blank()) +
311   - ggtitle("ISO 27001")
312   -
313   - list(graph1, graph2)
  353 + geom_col(width = 1, color='black') +
  354 + geom_label(aes(label=paste(cert.pie$perc, "%")),
  355 + vjust = Certs.label.vjust,
  356 + hjust = Certs.label.hjust) +
  357 + coord_polar(theta="y") +
  358 + scale_x_discrete(labels = c("")) +
  359 + scale_y_discrete(labels = c("")) +
  360 + theme(plot.title = element_text(hjust = 0.5),
  361 + axis.title.x=element_blank(),
  362 + axis.title.y=element_blank()) +
  363 + ggtitle("ISO 27001")
  364 +
  365 + list(graph1, unique(attack.pie[attack.pie$perc > 5,]$Continent),
  366 + graph2, unique(cert.pie[cert.pie$perc > 5,]$Continent))
314 367 }
315 368  
316 369 GetContinentAttacksEvolution <- function(Attacks){
... ... @@ -509,6 +562,7 @@ GetCountriesAttacksTopEvolution &lt;- function(Attacks){
509 562  
510 563 attacks.evol <- spread(attacks.evol, "Country", "Count")
511 564  
  565 + slope1 <- lm(formula = US ~ as.numeric(Year), data = attacks.evol)
512 566 graph1 <- ggplot(data = attacks.evol,
513 567 aes(x = Year, y = US, group = 1)) +
514 568  
... ... @@ -518,7 +572,8 @@ GetCountriesAttacksTopEvolution &lt;- function(Attacks){
518 572 theme(plot.title = element_text(hjust = 0.5)) +
519 573 ggtitle("US") +
520 574 xlab("Years") + ylab("Attacks")+
521   - stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
  575 + stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
  576 + geom_label(aes(x = "2014", y = 700, label = signif(slope1$coef[[2]])), color = "blue")
522 577  
523 578 graph2 <- ggplot(data = attacks.evol,
524 579 aes(x = Year, y = GB, group = 1)) +
... ... @@ -685,6 +740,84 @@ GetContinentAttackPie &lt;- function (Attacks){
685 740 list(graph1, graph2)
686 741 }
687 742  
  743 +GetContinentAttackEvolution <- function(Attacks){
  744 +
  745 + attack.evol <-mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
  746 + group_by(Attack.standar, Country, Year)
  747 + attack.evol <- as.data.frame(table(attack.evol$Country, attack.evol$Attack.standar, attack.evol$Year))
  748 + attack.evol <- setNames(attack.evol, c("Country", "Attack", "Year", "Count"))
  749 +
  750 + attack.evol <- attack.evol[attack.evol$Country != "",]
  751 + attack.evol <- attack.evol[attack.evol$Attack != "",]
  752 +
  753 + attack.evol$Attack <- as.character(attack.evol$Attack)
  754 + attack.evol[attack.evol$Attack != "DDoS" &
  755 + attack.evol$Attack != "Defacement" &
  756 + attack.evol$Attack != "Injection",]$Attack <- "Otros"
  757 + attack.evol$Attack <- as.factor(attack.evol$Attack)
  758 +
  759 + attack.evol <- group_by(attack.evol, Attack, Country, Year)
  760 + attack.evol <- summarise(attack.evol, Count = sum(Count))
  761 +
  762 + attack.evol.US <- attack.evol[attack.evol$Country == "US",]
  763 + attack.evol.JP <- attack.evol[attack.evol$Country == "JP",]
  764 +
  765 + attack.evol.US.Otros <- attack.evol.US[attack.evol.US$Attack == "Otros",]
  766 + attack.evol.JP.Otros <- attack.evol.JP[attack.evol.JP$Attack == "Otros",]
  767 +
  768 +
  769 + graph1 <- ggplot2::qplot(main = "US",
  770 + x = attack.evol.US$Year,
  771 + y = attack.evol.US$Count,
  772 + group = Attack,
  773 + xlab = "Years",
  774 + ylab = "Certifications",
  775 + data = attack.evol.US,
  776 + geom = "point",
  777 + color = Attack) +
  778 + geom_line() +
  779 + theme(plot.title = element_text(hjust = 0.5))
  780 +
  781 + graph2 <- ggplot2::qplot(main = "JP",
  782 + x = attack.evol.JP$Year,
  783 + y = attack.evol.JP$Count,
  784 + group = Attack,
  785 + xlab = "Years",
  786 + ylab = "Certifications",
  787 + data = attack.evol.JP,
  788 + geom = "point",
  789 + color = Attack) +
  790 + geom_line() +
  791 + theme(plot.title = element_text(hjust = 0.5))
  792 +
  793 + graph3 <- ggplot2::qplot(main = "US",
  794 + x = attack.evol.US.Otros$Year,
  795 + y = attack.evol.US.Otros$Count,
  796 + group = 1,
  797 + xlab = "Years",
  798 + ylab = "Certifications",
  799 + data = attack.evol.US.Otros,
  800 + geom = "point") +
  801 + geom_line() +
  802 + stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
  803 + theme(plot.title = element_text(hjust = 0.5))
  804 +
  805 + graph4 <- ggplot2::qplot(main = "JP",
  806 + x = attack.evol.JP.Otros$Year,
  807 + y = attack.evol.JP.Otros$Count,
  808 + group = 1,
  809 + xlab = "Years",
  810 + ylab = "Certifications",
  811 + data = attack.evol.JP.Otros,
  812 + geom = "point") +
  813 + geom_line() +
  814 + stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
  815 + theme(plot.title = element_text(hjust = 0.5))
  816 +
  817 + list(graph1, graph2, graph3, graph4)
  818 +
  819 +}
  820 +
688 821 #----------------------------------------------------------------
689 822 #----------------------------------------------------------------
690 823 #----------------------------------------------------------------
... ...
ISO27001effectiveness/Report.Rmd
... ... @@ -81,97 +81,138 @@ Para llegar hasta el fueron necesarios procesos algo más complejos, pero se res
81 81  
82 82 ### Evolución general
83 83  
84   -En primer lugar, para saber si este estudio tiene sentido, se observará la evolución temporal tanto de los ciberataques reportados como de las certificaciones realizadas en busca de patrones que puedan indicar una relación entre ambas evoluciones.
  84 +En primer lugar, para poder intuir si este estudio tiene sentido, se observará la evolución temporal en general tanto de los ciberataques reportados como de las certificaciones realizadas en busca de patrones que puedan indicar una relación entre ambas evoluciones.
85 85  
86 86 ```{r fig.width=4.5, fig.height=4,out.extra='style="float:left"'}
87   -ISO27001effectiveness::GetCertsEvolution(Cert_PerCountry)
  87 +General.Certs.Evol <- ISO27001effectiveness::GetCertsEvolution(Cert_PerCountry,
  88 + c(0.2, -0.7, 0, 0, 0.5),
  89 + c(-0.6, 1, 1.2, -0.5, 1.2),
  90 + 25500, 1.45,
  91 + "2013", 20000, 0)
  92 +General.Certs.Evol[[1]]
88 93 ```
89 94 ```{r fig.width=4.5, fig.height=4}
90   -ISO27001effectiveness::GetAttacksEvolution(Attacks)
  95 +General.Attacks.Evol <- ISO27001effectiveness::GetAttacksEvolution(Attacks,
  96 + c(0.5, 0, 0, -0.5, -0.5),
  97 + c(-0.5, -0.5, 1.5, 0, 0),
  98 + 2000, -0.1,
  99 + "2014", 1700, -0.5)
  100 +General.Attacks.Evol[[1]]
91 101 ```
92 102  
93   -Como se puede observar en las gráficas, el número de empresas que obtienen la certificación crece anualmente, mientras que el numero de ataques es un poco más inestable. Del año 2013 al 2014 el número de ataques se reduce drásticamente, esto puede deberse a un problema en la fuente de datos, ya que al depender directamente de un ser humano pueden existir intervalos en los que se hayan registrado menos datos (por problemas del administrador, como falta de tiempo o interes). Otra explicación plausible es que justo en el año 2013 se produjo una revisión de la certificación, produciendose la ISO 27001:2013 que sustituyó a su predecesora 27001:2005, los cambios realizados pueden consultarse en la [web oficial](http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=54534). Para indagar un poco sobre este tema a continuación se representa la evolución de los ataques mes a mes, al aumentar la precisión en el eje X se puede observar mejor la tendencia y abstraernos un poco de esos errores humanos.
  103 +Como se puede observar en las gráficas, el número de empresas que obtienen la certificación crece anualmente, mientras que el numero de ataques tiende a descender, aunque es un poco más inestable. Del año 2013 al 2014 el número de ataques se reduce drásticamente, esto puede deberse a un problema en la fuente de datos, ya que al depender directamente de un ser humano pueden existir intervalos en los que se hayan registrado menos datos (por problemas del administrador, como falta de tiempo o interes). Otra explicación plausible, si tenemos en cuenta que las certificaciones de un año afectan a los ataques del año siguiente, es que justo en el año 2013 se produjo una revisión de la certificación, produciendose la ISO 27001:2013 que sustituyó a su predecesora 27001:2005, los cambios realizados pueden consultarse en la [web oficial](http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=54534). Por último, también podría influir la diferencia en numero de certificados expedidos, teniendo en cuenta el mismo desplazamiento que en el caso anterior, ya que los años en que mayor es la diferencia en certificaciones obtenidas (2013 y 2015) causan una bajada en el número de ataques al año siguiente, y viceversa.
  104 +
  105 +No obstante, para simplificar este estudio, se tratará de analizar más las estimaciones de las gráficas y no tanto las irregularidades de las mismas. Para observar que dichas irregularidades no son tan importantes en realidad, a continuación se representa la evolución de los ataques mes a mes, aunque en el resto del análisis se empleará el año como unidad de tiempo ya que no disponemos de datos más precisos para las certificaciones.
94 106  
95 107 ```{r fig.width=9, fig.height=4}
96 108 ISO27001effectiveness::GetAttacksMonthEvolution(Attacks)
97 109 ```
98 110  
99   -Podemos observar que la tendencia de los ataques tiene una pendiente negativa, mas pronunciada en el momento en que se realiza una actualización de las normas (27001:2013) y que presenta algo parecido, aunque muy moderada, a una recuperación, pasado un periodo de tiempo.
100   -También se podría relacionar la evolución de los ataques con la evolución de los certificados, si tenemos en cuenta el desplazamiento de un año para establecer la relación de causalidad. Por ejemplo podemos observar como los años en que menos crece el número de certificaciones (2012 y 2014), los ataques aumentan ligeramente en los años siguientes (2013 y 2015), mientras que en los años que mayor es el aumento de las mismas (2013 y 2015) la cantidad de ataques producidos disminuye para los años consecutivos (2014 y 2016).
  111 +Podemos observar al aumentar la precisión en el eje X que los picos no eran en realidad tan graves en la fuente de datos como parecian.
  112 +
  113 +También podemos observar que la tendencia de los ataques realmente tiene una pendiente más o menos negativa, aunque parece que asciende un poco en los ultimos meses.
  114 +
  115 +Por último, aunque se puede observar que existen aproximaciones (como la del último gráfico) que se acercan mucho más a la función real que la lineal, para este estudio se utilizará por simplicidad.
101 116  
102 117 ### Evolución por tipo de ataque
103 118  
104   -Podría darse el caso de que la certificación tenga uan efectividad mayor contra ciertas técnicas de ataque y que dicha efectividad se camufle entre el resto de técnicas, por ello contemplamos el estudio individual de los diferentes tipos de ataques definidos en nuestra fuente de datos. Existen multitud de ellos por lo que el estudio se tendrá que centrar en una pequeña parte de ellos, los más empleados. Para llevar a cabo esta elección se representan a continuación aquellos que representan al menos un 1% del total de ataques producidos.
  119 +Podría darse el caso de que la certificación tenga una efectividad mayor contra ciertas técnicas de ataque, y que dicha efectividad se camufle entre el resto de técnicas, por ello se contemplará el estudio individual de los diferentes tipos de ataques definidos en la fuente de datos. Existen multitud de ellos, por lo que el estudio se tendrá que centrar en una pequeña parte, los más frecuentes. Para llevar a cabo esta elección se representan a continuación aquellos que representan al menos un 1% del total de ataques producidos.
105 120  
106 121 ```{r fig.width=9, fig.height=5}
107   -ISO27001effectiveness::GetAttackTypePie(Attacks)
  122 +AttackTypePie <- ISO27001effectiveness::GetAttackTypePie(Attacks,
  123 + c(-2, 0, 3, 7, -3, -4, -4),
  124 + c(2, 3, 2.5, 0, -0.5, -0.3, 0.5))
  125 +
  126 +AttackTypePie[[1]]
108 127 ```
109 128  
110   -Como se puede observar en el gráfico anterior, la mayor parte de los ataques registrados en nuestra fuente de datos emplean las siguientes técnicas, que serán las estudiadas a continuación:
  129 +Como se puede observar en el gráfico anterior, la mayor parte de los ataques registrados en la fuente de datos emplean las siguientes técnicas, que serán las estudiadas a continuación:
111 130  
112   -* Injection: Cualquier tipo de inyeccion ya sea de código, SQL, etc
  131 +* _Injection_: Cualquier tipo de inyección ya sea de código, SQL, etc.
113 132  
114   -* Defacement: Consiste básicamente en modificar la apariencia de una página web.
  133 +* _Defacement_: Consiste en modificar la apariencia visual de una página web.
115 134  
116   -* DDoS: Trata de saturar un servicio mediante miles de conexiones para evitar que los usuarios legítimos puedan acceder con normalidad.
  135 +* _DDoS_: Trata de saturar un servicio mediante miles de conexiones para evitar que los usuarios legítimos puedan acceder con normalidad.
117 136  
118   -* Account Hijacking: Con lo que obtienen datos o credenciales de cuentas ajenas.
  137 +* _Account Hijacking_: Cuyo objetivo es obtener datos o credenciales de cuentas ajenas.
119 138  
120   -* Malware: Programas que se ejecutan en el sistema victima para llevar a cabo actividades maliciosas.
  139 +* _Malware_: Programas que se ejecutan en el sistema de la víctima para llevar a cabo actividades maliciosas.
121 140  
122   -* DNS: Ataques basados en los servidores DNS de la victima, como el poisoning, que consigue retornar las IPs que no debería a cada petición.
  141 +* _DNS_: Ataques basados en los servidores DNS de la víctima, como el poisoning, que consigue retornar las IPs que no debería a ciertas peticiones.
  142 +
  143 +* _Zero Day_: Son vulnerabilidades recien descubiertas para un servicio o protocolo. Pasa un tiempo hasta que se desarrollan parches o versiones que las corrijan.
123 144  
124 145 ```{r fig.width=9, fig.height=4}
125   -ISO27001effectiveness::GetAttackTypeEvolution(Attacks)
  146 +AttackTypeEvolution <- ISO27001effectiveness::GetAttackTypeEvolution(Attacks, AttackTypePie[[2]])
  147 +
  148 +AttackTypeEvolution[[1]]
126 149 ```
127 150  
128   -Como podemos observar en la evolución temporal reflejada en el gráfico, existen ciertas técnicas que mas o menos son constantes en el tiempo, y existen otras que tienen o podrian tener una pendiente negativa clara. Nos centraremos en aquellos tipos de ataques que muestran dicha tendencia al descenso y que podremos observar a continuación.
  151 +Como se puede observar en la evolución temporal reflejada en el gráfico, existen ciertas técnicas que más o menos son constantes en el tiempo, y existen otras que tienen o podrían tener una tendencia con pendiente negativa clara. A continuación se representarán los ataques por separado junto con sus estimaciones lineales para observar qué tendencias tienen una pendiente negativa más clara.
129 152  
130 153 ```{r fig.width=3, fig.height=3,out.extra='style="float:left"'}
131   -top <- ISO27001effectiveness::GetAttackTypeTopEvolution(Attacks)
132   -top[[3]]
133   -slope3 <- (fit[5] - fit[1]) / 4
  154 +Injection <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "Injection", "2014", 500, 0)
  155 +
  156 +Injection[[1]]
  157 +slope_inj <- Injection[[2]]
  158 +
134 159 ```
135 160 ```{r fig.width=3, fig.height=3,out.extra='style="float:left"'}
136   -top[[1]]
137   -slope1 <- (fit[5] - fit[1]) / 4
  161 +DDoS <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "DDoS", "2014", 200, 0)
  162 +
  163 +DDoS[[1]]
  164 +slope_dos <- DDoS[[2]]
138 165 ```
139 166 ```{r fig.width=3, fig.height=3}
140   -top[[2]]
141   -slope2 <- (fit[5] - fit[1]) / 4
  167 +Defacement <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "Defacement", "2014", 150, 0.5)
  168 +
  169 +Defacement[[1]]
  170 +slope_def <- Defacement[[2]]
142 171 ```
143 172 ```{r fig.width=3, fig.height=3,out.extra='style="float:left"'}
144   -top[[6]]
145   -slope6 <- (fit[5] - fit[1]) / 4
  173 +DNS <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "DNS", "2014", 15, 0)
  174 +
  175 +DNS[[1]]
  176 +slope_dns <- DNS[[2]]
146 177 ```
147 178 ```{r fig.width=3, fig.height=3,out.extra='style="float:left"'}
148   -top[[4]]
149   -slope4 <- (fit[5] - fit[1]) / 4
  179 +AH <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "Account Hijacking", "2014", 110, 0.3)
  180 +
  181 +AH[[1]]
  182 +slope_AH <- AH[[2]]
150 183 ```
151 184 ```{r fig.width=3, fig.height=3}
152   -top[[5]]
153   -slope5 <- (fit[5] - fit[1]) / 4
  185 +Malware <- GetAttackTypeSigleEvolution(AttackTypeEvolution[[2]], "Malware", "2014", 40, 0)
  186 +
  187 +Malware[[1]]
  188 +slope_mal <- Malware[[2]]
154 189 ```
155 190  
156 191 Los tipos de ataque están ordenados por la pendiente de su tendencia, de menor a mayor, para reflejar cuáles están descendiendo más rápido y por lo tanto cuáles podrían reflejar mejor el aumento de certificaciones ISO27001 expedidas.
157 192  
158   -Tanto _Malware_ como _Account Hijacking_ tienen una tendencia con pendiente positiva, `r slope4` y `r slope5` respectivamente, por lo que quedan descartadas para este estudio.
  193 +Tanto _Malware_ como _Account Hijacking_ tienen una tendencia con pendiente positiva, `r slope_mal` y `r slope_AH` respectivamente.
159 194  
160   -La tendencia con una mayor pendiente negativa es _Injection_ (`r slope3`) y junto con _DDoS_ (`r slope1`), que también tiene una tendencia llamativa, pueden ser los que estén mas relacionados con la efectividad de la certificación ISO 27001.
  195 +La tendencia con una mayor pendiente negativa es _Injection_ (`r slope_inj`), aunque también _DDoS_ (`r slope_dos`) y _Defacement_ (`r slope_def`), presentan unas tendencias con pendientes negativas.
161 196  
162   -Por otro lado tenemos _DNS_ cuya tendencia también tiene una pendiente negativa (`r slope6`), pero es muy moderada y además podemos observar que los casos reportados en nuestra fuente de datos son mas bien escasos.
  197 +Por otro lado tenemos _DNS_, cuya tendencia también tiene una pendiente negativa (`r slope_dns`), pero es muy moderada asi que podría considerarse estable y por lo tanto no conluyente para este estudio.
163 198  
164 199  
165 200 ### Evolución geográfica
166 201  
167   -Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente de una mejor o peor forma según la región geográfica. En primer lugar observaremos la comparación por continente.
  202 +Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente de una mejor o peor forma según la región. En primer lugar se generalizará por continente.
168 203  
169 204 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
170   -graphs <- ISO27001effectiveness::GetContinentPie(Attacks, Cert_PerCountry)
171   -graphs[[1]]
  205 +ContinentPies <- ISO27001effectiveness::GetContinentPie(Attacks,
  206 +c(-2.5, 0, 2, 0, -2.5),
  207 +c(1.4, 1, 0.5, 0.5, 0),
  208 +Cert_PerCountry,
  209 +c(0, -1.5, -2.5, -2.5, -2.5),
  210 +c(0.5, 0.2, 0.5, 1.8, -0.5))
  211 +
  212 +ContinentPies[[1]]
172 213 ```
173 214 ```{r fig.width=4.5, fig.height=3}
174   -graphs[[2]]
  215 +ContinentPies[[3]]
175 216 ```
176 217  
177 218 Se puede observar a simple vista que los continentes que reciben más ataques, por una cuestión lógica de superficie e intereses, son por orden América, Asia y Europa. En cambio los continentes que mas certificaciones ISO 27001 obtienen son por orden Asia, Europa y América. Tanto África como Oceania podemos descartarlos en este estudio ya que sus porcentajes no son relevantes. Observemos ahora cómo influye esto en el tiempo.
... ... @@ -292,6 +333,28 @@ graphs[[1]]
292 333 graphs[[2]]
293 334 ```
294 335  
  336 +Como vimos en el apartado previo, la ISO 27001 parece especialmente efectiva contra las técnicas de _Defacement_, _DDoS_ e _Injection_, en los gráficos previos podemos observar como para _Estados Unidos_ tiene un menor porcentaje de este tipo de ataques con respecto a _Japón_. Para valorarlo mejor se representará a continuación cómo evolucionan con el tiempo.
  337 +
  338 +```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
  339 +graphs <- ISO27001effectiveness::GetContinentAttackEvolution(Attacks)
  340 +graphs[[1]]
  341 +```
  342 +```{r fig.width=4.5, fig.height=3}
  343 +graphs[[2]]
  344 +```
  345 +
  346 +Como se puede observar, en _Estados Unidos_ se presenta una tendencia mayor a recibir los tipos de ataques que parecen menos afectados por la ISO 27001, mientras que en _Japón_ parecen matenerse. Se representarán las tendecias en ambos paises.
  347 +
  348 +```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
  349 +graphs[[3]]
  350 +slope_US_Oth <- (fit[5] - fit[1]) / 4
  351 +```
  352 +```{r fig.width=4.5, fig.height=3}
  353 +graphs[[4]]
  354 +slope_JP_Oth <- (fit[5] - fit[1]) / 4
  355 +```
  356 +
  357 +Efectivamente, la tendencia en _Estados Unidos_ tiene una pendiente mayor (`r slope_US_Oth`) que en Japón que es cercana al 0 (`r slope_JP_Oth`) lo que, aunque la gráfica sea irregular debido a la baja cantidad de casos, implica una constancia.
295 358  
296 359 # Viejo
297 360  
... ...
ISO27001effectiveness/Report.html
... ... @@ -339,37 +339,41 @@ $(document).ready(function () {
339 339 <h2>Análisis</h2>
340 340 <div id="evolucion-general" class="section level3">
341 341 <h3>Evolución general</h3>
342   -<p>En primer lugar, para saber si este estudio tiene sentido, se observará la evolución temporal tanto de los ciberataques reportados como de las certificaciones realizadas en busca de patrones que puedan indicar una relación entre ambas evoluciones.</p>
343   -<p><img src="data:image/png;base64,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" width="432" style="float:left" /> <img src="data:image/png;base64,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" width="432" /></p>
344   -<p>Como se puede observar en las gráficas, el número de empresas que obtienen la certificación crece anualmente, mientras que el numero de ataques es un poco más inestable. Del año 2013 al 2014 el número de ataques se reduce drásticamente, esto puede deberse a un problema en la fuente de datos, ya que al depender directamente de un ser humano pueden existir intervalos en los que se hayan registrado menos datos (por problemas del administrador, como falta de tiempo o interes). Otra explicación plausible es que justo en el año 2013 se produjo una revisión de la certificación, produciendose la ISO 27001:2013 que sustituyó a su predecesora 27001:2005, los cambios realizados pueden consultarse en la <a href="http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=54534">web oficial</a>. Para indagar un poco sobre este tema a continuación se representa la evolución de los ataques mes a mes, al aumentar la precisión en el eje X se puede observar mejor la tendencia y abstraernos un poco de esos errores humanos.</p>
345   -<p><img src="data:image/png;base64,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" width="864" /></p>
346   -<p>Podemos observar que la tendencia de los ataques tiene una pendiente negativa, mas pronunciada en el momento en que se realiza una actualización de las normas (27001:2013) y que presenta algo parecido, aunque muy moderada, a una recuperación, pasado un periodo de tiempo. También se podría relacionar la evolución de los ataques con la evolución de los certificados, si tenemos en cuenta el desplazamiento de un año para establecer la relación de causalidad. Por ejemplo podemos observar como los años en que menos crece el número de certificaciones (2012 y 2014), los ataques aumentan ligeramente en los años siguientes (2013 y 2015), mientras que en los años que mayor es el aumento de las mismas (2013 y 2015) la cantidad de ataques producidos disminuye para los años consecutivos (2014 y 2016).</p>
  342 +<p>En primer lugar, para poder intuir si este estudio tiene sentido, se observará la evolución temporal en general tanto de los ciberataques reportados como de las certificaciones realizadas en busca de patrones que puedan indicar una relación entre ambas evoluciones.</p>
  343 +<p><img src="data:image/png;base64,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" width="432" style="float:left" /> <img src="data:image/png;base64,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" width="432" /></p>
  344 +<p>Como se puede observar en las gráficas, el número de empresas que obtienen la certificación crece anualmente, mientras que el numero de ataques tiende a descender, aunque es un poco más inestable. Del año 2013 al 2014 el número de ataques se reduce drásticamente, esto puede deberse a un problema en la fuente de datos, ya que al depender directamente de un ser humano pueden existir intervalos en los que se hayan registrado menos datos (por problemas del administrador, como falta de tiempo o interes). Otra explicación plausible, si tenemos en cuenta que las certificaciones de un año afectan a los ataques del año siguiente, es que justo en el año 2013 se produjo una revisión de la certificación, produciendose la ISO 27001:2013 que sustituyó a su predecesora 27001:2005, los cambios realizados pueden consultarse en la <a href="http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=54534">web oficial</a>. Por último, también podría influir la diferencia en numero de certificados expedidos, teniendo en cuenta el mismo desplazamiento que en el caso anterior, ya que los años en que mayor es la diferencia en certificaciones obtenidas (2013 y 2015) causan una bajada en el número de ataques al año siguiente, y viceversa.</p>
  345 +<p>No obstante, para simplificar este estudio, se tratará de analizar más las estimaciones de las gráficas y no tanto las irregularidades de las mismas. Para observar que dichas irregularidades no son tan importantes en realidad, a continuación se representa la evolución de los ataques mes a mes, aunque en el resto del análisis se empleará el año como unidad de tiempo ya que no disponemos de datos más precisos para las certificaciones.</p>
  346 +<p><img src="data:image/png;base64,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" width="864" /></p>
  347 +<p>Podemos observar al aumentar la precisión en el eje X que los picos no eran en realidad tan graves en la fuente de datos como parecian.</p>
  348 +<p>También podemos observar que la tendencia de los ataques realmente tiene una pendiente más o menos negativa, aunque parece que asciende un poco en los ultimos meses.</p>
  349 +<p>Por último, aunque se puede observar que existen aproximaciones (como la del último gráfico) que se acercan mucho más a la función real que la lineal, para este estudio se utilizará por simplicidad.</p>
347 350 </div>
348 351 <div id="evolucion-por-tipo-de-ataque" class="section level3">
349 352 <h3>Evolución por tipo de ataque</h3>
350   -<p>Podría darse el caso de que la certificación tenga uan efectividad mayor contra ciertas técnicas de ataque y que dicha efectividad se camufle entre el resto de técnicas, por ello contemplamos el estudio individual de los diferentes tipos de ataques definidos en nuestra fuente de datos. Existen multitud de ellos por lo que el estudio se tendrá que centrar en una pequeña parte de ellos, los más empleados. Para llevar a cabo esta elección se representan a continuación aquellos que representan al menos un 1% del total de ataques producidos.</p>
351   -<p><img src="data:image/png;base64,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" width="864" /></p>
352   -<p>Como se puede observar en el gráfico anterior, la mayor parte de los ataques registrados en nuestra fuente de datos emplean las siguientes técnicas, que serán las estudiadas a continuación:</p>
  353 +<p>Podría darse el caso de que la certificación tenga una efectividad mayor contra ciertas técnicas de ataque, y que dicha efectividad se camufle entre el resto de técnicas, por ello se contemplará el estudio individual de los diferentes tipos de ataques definidos en la fuente de datos. Existen multitud de ellos, por lo que el estudio se tendrá que centrar en una pequeña parte, los más frecuentes. Para llevar a cabo esta elección se representan a continuación aquellos que representan al menos un 1% del total de ataques producidos.</p>
  354 +<p><img src="data:image/png;base64,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" width="864" /></p>
  355 +<p>Como se puede observar en el gráfico anterior, la mayor parte de los ataques registrados en la fuente de datos emplean las siguientes técnicas, que serán las estudiadas a continuación:</p>
353 356 <ul>
354   -<li><p>Injection: Cualquier tipo de inyeccion ya sea de código, SQL, etc</p></li>
355   -<li><p>Defacement: Consiste básicamente en modificar la apariencia de una página web.</p></li>
356   -<li><p>DDoS: Trata de saturar un servicio mediante miles de conexiones para evitar que los usuarios legítimos puedan acceder con normalidad.</p></li>
357   -<li><p>Account Hijacking: Con lo que obtienen datos o credenciales de cuentas ajenas.</p></li>
358   -<li><p>Malware: Programas que se ejecutan en el sistema victima para llevar a cabo actividades maliciosas.</p></li>
359   -<li><p>DNS: Ataques basados en los servidores DNS de la victima, como el poisoning, que consigue retornar las IPs que no debería a cada petición.</p></li>
  357 +<li><p><em>Injection</em>: Cualquier tipo de inyección ya sea de código, SQL, etc.</p></li>
  358 +<li><p><em>Defacement</em>: Consiste en modificar la apariencia visual de una página web.</p></li>
  359 +<li><p><em>DDoS</em>: Trata de saturar un servicio mediante miles de conexiones para evitar que los usuarios legítimos puedan acceder con normalidad.</p></li>
  360 +<li><p><em>Account Hijacking</em>: Cuyo objetivo es obtener datos o credenciales de cuentas ajenas.</p></li>
  361 +<li><p><em>Malware</em>: Programas que se ejecutan en el sistema de la víctima para llevar a cabo actividades maliciosas.</p></li>
  362 +<li><p><em>DNS</em>: Ataques basados en los servidores DNS de la víctima, como el poisoning, que consigue retornar las IPs que no debería a ciertas peticiones.</p></li>
  363 +<li><p><em>Zero Day</em>: Son vulnerabilidades recien descubiertas para un servicio o protocolo. Pasa un tiempo hasta que se desarrollan parches o versiones que las corrijan.</p></li>
360 364 </ul>
361   -<p><img src="data:image/png;base64,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" width="864" /></p>
362   -<p>Como podemos observar en la evolución temporal reflejada en el gráfico, existen ciertas técnicas que mas o menos son constantes en el tiempo, y existen otras que tienen o podrian tener una pendiente negativa clara. Nos centraremos en aquellos tipos de ataques que muestran dicha tendencia al descenso y que podremos observar a continuación.</p>
363   -<p><img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,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" width="288" /> <img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAJACAMAAABSRCkEAAAAtFBMVEUAAAAAADoAAGYAOpAAZrYzMzMzZv86AAA6ADo6OgA6Ojo6kNtNTU1NTW5NTY5NbqtNjshmAABmAGZmZgBmZmZmkJBmtttmtv9uTU1uq+SOTU2Oq6uOyP+QOgCQOmaQZgCQkLaQkNuQ29uQ2/+rbk2rjk2r5P+2ZgC2kDq2///Ijk3I///bkDrbtmbb///kq27k5Kvk///r6+v/tmb/yI7/25D/5Kv//7b//8j//9v//+T///95ZHi+AAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO2da4PbNnOF6cR22liJ173temv3bWu/UaOo2XqlrNfW//9fJQnwfsEAGFAz5DkfbIkSD0HOo8EAoLTZBYIilF27AZBuASAoSgAIihIAgqIEgKAoASAoSgAIihIAgqIEgKAoASAoSgAIihIAgqIEgKAoASAoSgAIitKaANpn2Q+/X/H4f/2U/fhn6/m3j1l2m///9V324pP5n96+Y5a96WyoXIRpRQDlV7h/0VPqr3/ohxMA6dYp56cbwYQaCycAUq08XC/+0URsAfkAFKQBQEK1HoCK8P1vlr1c5mgAyGo9ABVXfLk0D4CsVgNQ0YN9KgZiy1x2AGS1GoBOZQF96o/kj0Vl3Qn1YEs5emtC32LwaHvEfQGCeZt5KUclGxh7FdHGrdPhdhvWAFRsv21cBo2pTr90W+wTVGk1AJkr1/vQHzOrOrCDLcUeWTuYEwDtsxYzsQBZfLKsaW2/YTVAlp8OQJ3GtPxefAJAgaou77E9kq+D0g5Ld0srlHbLOEA/d94VCVD7oNZi0LAKoIqfNkA/997b+P3wzwAoTBU4eRDrqBZhrq65uazDLXubeppZyHGAjH35rk4426qwamsUoH3lcpxumAXoWCPWAqjfmOokyn4MAIWo7rqKB9UV3LcTT/losKUI3Jv63WV4JwAy24qgvbEPggEqTGzPdZpqmAVo3+mmuojVjSmOe1tvAUAhyq+hLS+aMroVJ3vxh1taPV714jhAVfW7t5tiADp1Dlolk27DDEAtftoA9RpzbIrxEwAK076+hk0sWnGyGmzp1NzWYxygl71NTEsZdtOwqSVAbX7aAHUb0z6JOkMupnUA1K5K69LyNJiWHmzpYGCjOA5QfxMLQGWzLUD9GfSqqn7TenMFULcxnaZgFBakU7ffMNfzOIjKYMvVAGoRX2waNrUGaKwLGwDUcAmAQtTM5ViV0ZALUCdhzgBUTuu0yiUAlEjtsXt5WcsL6gvQca4G4gSo5udltWkcoPyVVk2DLiydOrOH9dC8XZmaSz3Y4iii92kAqucGR4voYz20sicxnAfqNqZ9Eu1ZjGW0BoB6Q4/iIvbGxvYaD7eMD+NfNu9JAVDLzk46DBtWz0TXndgkQBjGx+rUW1M4NbO6NqCnZpKwu2VkIvFYz7McsyQAtbJEcfjxhtUADaYuh43BRGKk9r0KoriM1YWtJuV6Kwb1ln17XaDccrKFranMpwAa6ys8MlCzBGE2DRtWL6ZWH4dpgOqlDDOTCYA81cr/Vq1k0p0aoiymtoZ0//rTLEBZ77hUgLoz1vWcQ7cZNUCFi+3mpgDqToMBIE8dB9/mqSuBUzcoY1sGt3M04bj9axqgsYVL8jC+oeXfPrbmzfuot/q5l7MANU3+8W8AyFd1qdvdZOOwbz7kVoMtvRvKLs33O+YAqm/hakSfSGzyV6sA7jbs2DmmuYdsEiDbGnNL5kJfK7DSD5AejayFcSvqLtogAaDl1NwywKtWTlruWwWVANBySgVQqwjsTqkuIQC0nPaJoltNPJjSauHvcgCgZWSH7mmiW91j3x8MLCEAtIzMKD1RDd2aulroi7mNANAyOqaNrkVocXwAEBQpAARFCQBBUQJAUJQAEBQlAARFCQBBUQJAUJQAEBQlAARFKRyg5/sb++jpbrfb/fpHtTl/8j6+YZAOhQN02N1UD4xKakqYdru3X1haB4lXMEA5Ngags0HnsPvltzL/3JQUIQdtRIEAlYnGAHSwsJQZ6Wxyz9Nd1aNBK1cYQA85PWcD0PfPRea5FOzc1DR9/7z7wNVCSLQCAcqhOVc1kFXxvKbpAX3YRhReRPcAKpPO873tuh7qF18ZBR8Gki02gB6K6qcG6AyANiIugM52EDYAyOoxQGF7wTetbxqADD8AaAO+SQB6MPyM1UAAaGW+CQDK62fLzfQobLkThG9aX36Acn7qlYuDmf8ZzgMtd4LwTevLDlCbn+mZ6OVOEL5pfdkBemivnE6uhS13gvBN68sNUHn7xq5egj/vxlfjlztB+Kb15QbovOsANHU/0HInCN+0vmwA+Wm5E4RvWl8ABN8oXwAE3yhfAFT8DkoSY1mBdirwOmweIPNDTCmcdQEUeh22DlD1U14JrFUBFHwdNg5Q82OC/N6aAAq/DgAIAD0CoGABICMAFCgAZASAQoUi2ghFdKgwjDfCMD5UAMgIE4mByrLLI7qw4jJgKSNIBUCPACjDWligAFChDACFygC08WF88QkCQEHKSoBSpCBNAGUAKFS2eEyQglQBFOwLgOzoY9MAZQAoWDVA7ARpAijcd+sAZfX8BwACQAFqhq/sKUgPQBkAClZr/mPDAEX4AqAGIGaC1ACUAaBwtWdgNwtQjO/GAco6APESpAWgDACFqzsDu1GAonwBUBsgVoKUAJQBoAj11oA2CVCc77YBygBQBoAi1F8DYu3DlAAU6QuAOr6bAygDQDEaAsRIkA6AYn0BUNd3YwBlAChG2QhAfASpACjad+MADX03BVAGgKI0ChAbQRoAivcFQH3fDQGUAaAoZeMAcRGkACAG320DNOq7GYC6H5XXrwGQp6YAYiJIPkCtx69fAyBvTd2JtxGA2h+U16XCWgOABgDxECQeoPrR60pBrdksQNkUQEwpSA1AMfxsG6Ap300AVJ1+jQ9GYZ6aAYiFIOkAmf+a9AOAPDVzM/kGADJn3+69AJCfsjmAOAgSDlDxT6f6AUB+mr2ZfPUAFWffK55VASRA2dy5zr64BuXn16qeWX0XURjrIXtNav7rLAwpSHIGyrLh2F1VBgprasheU8ocAMUTJBqgkbkfAOQl19dZVg3Q6NQhAPKSE6BoguQCND71DIC85PxC3XoBmli5AEBecgMUS5BQgCZXvgCQjzInQNEpSCZA0wunAMhHhG9kxqYgiQDNLbwDIB9RvtK7PoBmb9wAQD7aIkCO+34AkIcyEkBxBEkDyHXfGADyEO074WsCqMZn8qQAkIeIAEURJAqghh8AxCHir1KsBaBW7zV9SgDIQ1SAYgiSA1CbHwDEoYwIUFQKkgJQp3ieOSEARBf5Z01iUpAQgLqDLwDEIvrv4mgHqDd2n/tAACC6PAAKJ0gCQP25n7mzAUBkZXSAIlKQAID6U4ezHwcARJbPDyuFp6CrAzScep49FwBEltcvc6kFaLhyMf9hAEBkbQGgsZWv+VMBQGT5ARRK0FUBGuUHAPEo8wIoOAVdEaDxhXfHiQAgqnqfRCdAgQRdD6AJfgBQyF4j8gQoNAVdC6Cp+35cpwGAqPIGKIygKwE0yQ8AYgpI5gtQYAq6CkDTtx06TwIAEdX/KBIACiLoGgDN8AOArgdQWApaHqBpfCinAICICgEohKDFAZrlBwBdE6CgFLQwQHP4kE4AANHUr6FpAAUQtCxADn4AECNAIb7SAZrFh9Z8AERTIED+BC0I0Hz6IbYeANEUBlBACloOIAc+xMYDIJIGJZB6gFzph5o+ARBJw4tJBMiboIUAcvNDhB8AkRQKkH8KWgQgAj4AKOoE+woHyJegJQCi8QOAIk6wp2EJRPaVBxAJH3LDARBFI59GMkCeBCUHiMoPAIo5wZ4iAPJNQYkBIuJDbzYAoigKID+C0gJE5wcARZ1gTzEAeaaglACR8fFoNAAiaKSG9gHIi6CEAPnwA4DiTrCrscvp4SsDIA98fJoMgAiKBciHoFQA+fEDgCJPsKtIgLxSUCKAfPDxajAAcmusBPIDKHlAHPJKP0u0lw2g5/ub+tFut3s/9kQAQLG+VwbID58lMiYbQIedBejpblfo7ZfBEwAUKc/0s0jNxgXQYWcBylPOTQnO+/6TdQCUuiidkTc/S4waeQAqE40B6GzSzdPdr3/0nqwCoOTD4knV+Miat2IB6CGn52wBOphs8/3z7kPvyfUBGq2hfQFKPDE3pSb9yJo55wHol98uFqDvn/PHBqr33SciAGLwvQpA7d5L1todC0CFLEDP97a3esifd54YvTIKPkyUMo5ZChYTT7W6Lw9doaGMAJ3bAJ1XBNDycQnD5yqkpwfIKixZhuzV0ngJ5O2b9gatofqDL1l3UG4LIB7fRQEajt1l3cOdDKCJGmgVAKW8Sb2nkbkfWd8i4QZI8iiMC6CkX5PpaHTqcN0AXQ5myqeaB2o9WRFACb/p2db41DPNd6kvQrIDJHcmeqKGDvFdBqCJlQsiQN6HEwKQ3LWwqc9kCEDpfu2i1uTKF8l3sV8TYQcof9BagO88WQ9ACX9vp9L0wikNIP8jSgFI7P1AmgCaW3in+C73i2psAPkprKkhe9WaKoHCAEr2k3GlZm/cIAEUcFAANK/JmAf5pgTIcd8PwXfBX5UFQIEApfrZXPd9YxSAQo4LgObFC1CyH+5233bo9l3yl/UBUChAaf50gJsfCkABBwZADk3W0KG+KQAi4EPwXfSvC20IIGbfBH8+icQPASDf4xJ9J/YCQIG+3ADR8HH7LvsXFgFQOECOQHn6UvlxA+R1WLrv1F7bAGi6BAr35QSIjI/Td+G/Mr0dgPh9Gf+Mtgc/ToDoR/XyndwLAAX7sgHkgY/LNzgBAaBZpQFoNlhkX5/04/QN5gcAzWmmBIrxZQHIDx+Hb3gCAkBzmruu1wXIM/24fMP5AUBzSgXQXLxIvv78zPpGJCAANKdEAM1+4Am+Afg4APIx8vCd2wsAXc03iB8AdAWA5mroyNFduG8YPrO+MT0YAJpRfK0S4OzwDeVnFiBfL6Lv7F4AKG6NLcw3GJ8536gEBIBmlBKgoDW2CH7mAApwo/jO77UBgGZLoOg7Hf19Y/CZ8Y1LQABoWkxLDp7mk75x/MwAFObn9HXsBYDiAJqM24RvJD7T7Y1MQABoWokB8vrCYjQ/0wAFO877uvYCQJEATUVu1Dcan8n2xiYgADSp+Rp6SYDi08+470wron2de20BoDS+Dv+hLwc+U+2NTkAAaFKpAZr48Pd9WdLPiO9cG+J93XsBoHiAKD8fzMXPeHvjExAAmpKjBGIAaPzj3/Flw2cKoES+hL02AFAaX9ch2r6M/Iy2lyEBAaApLQDQaAJofDnxmQAokS9lLwDEAdDIMWpfXn7G2suRgADQlJYAaCwFWF9mfMYBSuRL2mvtALlqaCaAhgcxvuz8jLSXJQEtAtApj8atOoDS+PYPM+rLj88oQIl8aXvRADoV4BT8ZNkbAEQ6TO6bgp9he3kSUFqA9gU33z6WAL34BIDGjjPwTYLPGECJfIl7UQAqUs/Ly18/ZT/++fVd/kgRQM4SiA2g/nES8aMSoH1Z+hwz04/9+KcqgNL4jhyp+zQRPsP2MvVgKQHK+67bEqMffr/keaj4FwANj9R+kir9PI4AlMiXuhcBoK/virrHdl4AiHCkdPgM2suVgNIDdDIDMAA0eajqQcL08zgEKJEveS8CQKYLO5rx115VDeSuoRkBsodKy0+vvWwJKHERXQ6/CnKOLBNBi51gwr9pMXKw4p8aHz7frnoAJfKl70UByMwg5uTkFOmaB1oWoKydfhYBiC8BJQXITCHmtU/xgGMtY7ETXBSgx6zdey0DUCJfj70oAJUzQWXps2eooBdUjv2Sh2t1X8to2dMjaG2r8Yn/smBXveJ5iQzEmIBwO8eYlgSoP/haACDGCijtPNB/tZ99+w8980DLATQcuy8BUCJfr70oAL1rjdxPmZ6JRMIsEFOga36aA6YHiDUBpQWoHnoV43hNAKXx7auVfhYFKJGv314EgJrB+zHjuSdxoRNcCKB299UcMjlAvAko+TzQbbEMVt4XxKCFTnAZgLrVz4IAJfL13IsCUEHQi0/7jKX7WhlA/ep5MYCYE1DiYby9nZXljvrFACLV0JGBHgy+6mMmByiRr+9eNIBKglh6r0UBSuPbaGzhfSGAuBNQ8onEnCC+ZYxlTjA5QKM3blRHTQ1QIl/vvWYBKkbtA6kZxicGaOq+n0UAYk9AAGggWgkUHOjJ+8bsYRMDlMjXf681A5TGt9TcbYcAKLkWOcGUAM3xYw+cFCD+HgwADZQOoFl8Hm16SAtQIt+AvQCQd2tc/JgjpwQoQQJKDJBdkD+x/LTCMgARa2hvXyc+jyZBJAUokW/IXiSATnYW8cS0mLHECVI/pZ6+FH7KYycCyAxkEhinBKhYRS1viT4yLYctcYJJACLh81imiDQAJeMnKUD7+stgxYqGku+FpQCIyk9x8CQAVVMpCazT3g/UQKPlm6nkq+zhS8WnOHwSgJrJOH7vpHcktr5MqOW78eRrTPYlp5/y8AAIAHXlg48NNbEFBKeBWKw7StuFNTcCafmBKWaAvNLPY3ixO46LcoDsT0tVMOn4iTtegML4cbfBFxWdRXQ5jDc5iOmHftOfIP0iE3x98ZmqVRgySzJ+0k4k7lunyHFfYvoTpF9kt683P+SOKLCP89+LoLRLGQ1BSr6VwQeQPz6TAHk4TCv5tz0896IBVCHEUEArAyiEH4HD7VS+dIBYlfwEPUI36xuEz6PAYjeV73oBYvEN5UdesZvKNwCgr/+kYCKRBaBwfB7FFbupfKkAtYdhGmaiOQCK4kdaoFP50gCy30vVA5DPp3/CNxIfaYFO5UsD6NgZjCqYSPTpPcZ9o/kRFuhUviSAyp9WuJyKKaCv71T8vbBogKLxkRboVL4kgAw1X98Vfde3jxp+JzoSoPj0M+7LIlm+RIAKaCw6Jw2LqXEAceAjLdCpfD0Aykdit+UT+bdzeI2g+74s6WfEl0uyfH0AOpblj+nJpAMU7svFj7BAp/IlAWTviT6WK2Ea7kgMB4gNH2mBTuVLAqgYxr8s7woq//Kuhi4s0JeRH2GBTuVLA8j8uG81nSi+iPZbRGh8OfGRFuhUvjSAihsR87xz4pqITg5QkC8vP8ICncqXCFDecxV5p8hELHcEpT3BIICY8ZEW6FS+VICYlfYEQwBi50dYoFP5AqDSlx8faYFO5UsCqDP1cxQ/CvO8ESf3TcGPsECn8vUHaC/+dg7PG7kuSfCRFuhUvi6Axn5lc2UAJeJHWKBT+boA6t0KRJkHer7f7XY37SfvJQOUCB9pgU7l6wRomIIcJdB5V+rXP4onT3flk7dfFgTIqwRKlX4epQU6la8TIAMRvdfKU85N9a/9L6eon4NSnmAIPyHtcUlWoFP5sgN0Nunm6a5IQZ0n8gBKmH4epQU6lS8JIB+dTfnzfP/Lb5fLwaSe7593HwQClJYfYYFO5UsCyGce6OmuSTrfPxcU5Xro92EpT5AIUI2PrIBo8/UHyDEPlGcbUwO9L/61XddDPSp7ZTRjEKu8hqa8rcUPxCeGeaCcoJ0dutcAnRcFiPAm4JNIDPNAduReoDMCkFXCFEvpwTrVj6wuQZuvEyDfeaDzriyYDwVBQgHqFc+yAqLN1wmQgYg8jK8HXMUAbKQGSg6QexqxP/iSFRBtvtwAtZLO2y/XGIW5+BmO3WUFRJsvCaCOvn2co6kDUJ6GynS05DyQA6CRuR9ZAdHm6wuQ66+t5KyYZHMoeq0rzETPAjQ6dSgrINp8vQCyBfVsf/ZgRvCHXdF7XWEtbA6g8alnWQHR5usBkP2NKddvKxzMarzptOzS/HKr8TM19NTKhayAaPOlAnSyY3jCb7uUE0FVn7X0/UD+/AgLiDZfEkD1D5Tx/L3LawA0s3AqKyDafAkA2bnoF//9US9AcwvvsgKizdcFUDURfdv7s3NCARovgebv25AVEG2+DoAMP4YbHQCNbHTc9yMrINp8nQA1gy6lADlvG5MVEG2+ToCa5VOdALlvO5QVEG2+DoDq2Z83KgAalEBufKQFRJuvE6C6jtYwCgvhR1hAtPkSALp4TSMKAoiEj7SAaPOlAdTMJTIhlOgEOwAR+REWEG2+VIAu5g+nEtbChABExUdaQLT5egB0qSpqsT+u0Kqh6fwIC4g2Xz+Aqp/bFAuQfeCBj7SAaPP1BSjXUTxAXvwIC4g23wCAOJTmBA1AfvhIC4g23zUBZEogX36EBUSb77oACvrBBFkB0ea7MoAC+BEWEG2+qwIoBB9pAdHmuyaAwvgRFhBtvusBKBAfaQHR5rsagIL5ERYQbb4rASgcH2kB0ea7DoBi+BEWEG2+awAoCh9pAdHmuwKAIvkRFhBtvuoBqvHx/AsZLt94bcNXO0BN+gFAV/HVDVC79wJAV/FVDVCXHwB0DV/FAHWL52B+hAVEm69egHqDLwB0HV+tAA3G7gDoOr5KARrhBwBdxVclQCNTh+H8CAuINl+NAI1NPQOgK/nqA2h85QIAXclXHUATK18A6Eq+ygCaWjiNqKGFBUSbry6AJhfeI/gRFhBtvpoAmrlvAwBdy1cRQHP3/QCga/kqAugyfdtYTAkkLCDafNUBNPpSDD/CAqLNVxNAl8m7VgHQ1XxVATT5EgC6mu8qAIoqgYQFRJvvSgAK8XP7xmkbvgBIWEC0+V4JIF5lOpu9RiED8WkbvmsAKK6GFhYQbb7rACjEzu0bqW34AiBhAdHmC4CEBUSb7woAiiyBhAVEm+8qAApxc/vGahu+AEhYQLT5AiBhAdHmC4CEBUSbr36AYmtoYQHR5rsGgELM3L7R2oYvABIWEG2+AEhYQLT5qgcougQSFhBtvisAKMTL7RuvbfgCIGEB0eYLgIQFRJsvABIWEG2+2gGKr6GFBUSbr36AQqzcvgzahi8AEhYQbb4ASFhAtPkqB4ihBBIWEG2+6gEKcXL7cmgbvgBIWEC0+QIgYQHR5guAhAVEm69ugDhqaGEB0earHaAQI7cvi7bhC4CEBUSbLwASFhBtvqoBYimBhAVEm69ygEJ83L482oYvABIWEG2+AEhYQLT5agaIpwQSFhBtvroBCrFx+zJpG74ASFhAtPkCIGEB0eYLgIQFRJuvYoCYamhhAdHmqxqgEBe3L5e24QuAhAVEmy8AEhYQbb56AeIqgYQFRJuvZoBCTNy+bNqGLwASFhBtvgBIWEC0+QIgYQHR5qsWILYaWlhAtPmmAOiwy/XBPH6+zx+/TwJQiIfbl0/b8OUHqEQm103x5OmufPz2CwBaqS87QN8/lwnnYffLbyVMNyVF/RwUf4IASIYvO0Bnm24eCnTsk6e7X/9gBoivBBIWEG2+3ADlCehD8+xgUk93IxNAIRZuX0Ztw5cboOf7VrL5/rnoxy5FOur1YdEnCICE+HID9HT39ss5L5tLcmqaHkxJneuVUexhLtlSEw6QlzgA+rsZhb1vAXQGQBtRdFjOdgB/LnLQCEBWsSmWsYYW1iVo800AkCl3il4rJUAhDm5fTm3DlxugpztbNxfF0EgNBIBW5ssPkGWmeJBuFAaApPhyA1QzU2Sgy8HM/7DPA3GWQMICos2XG6CcGdNblUkn1Uw0Jz/CAqLNlx0gu/B1TroWBoDE+LIDVA7k6/s57BPu1XgAJMaXH6Ci4tntqj4rzf1AAEiMbwKAKIo7QdYaWlhAtPkqBShkf7cvr7bhC4CEBUSbLwASFhBtvhoB4i2BhAVEm69OgEJ2d/syaxu+AEhYQLT5AiBhAdHmqxAg5hJIWEC0+aoEKGRvty+3tuELgIQFRJsvABIWEG2+AEhYQLT56gOIu4YWFhBtvhoBCtnZ7cuubfgCIGEB0eYLgIQFRJuvOoDYSyBhAdHmqxCgkH3dvvzahi8AEhYQbb4ASFhAtPkCIGEB0earDSD+GlpYQLT56gMoZFe3bwJtwxcACQuINl8AJCwg2nyVAZSgBBIWEG2+6gAK2dPtm0Lb8AVAwgKizRcACQuINl8AJCwg2nx1AZSihhYWEG2+2gAK2dHtm0Tb8AVAwgKizRcACQuINl9VACUpgYQFRJuvMoBC9nP7pnDdii8AEhYQbb4ASFhAtPnqASjL0pRAwgKizVcNQBkAEumrBaAsS0aQrIBo81UCUJalI0hWQLT5AiBhAdHmC4CEBUSbLwASFhBtvkoAQhEt1VcLQBjGC/VVA9BjKn6EBUSbrx6AhF04+FZ7XQUgaKVCBoKv714ACL4RvgAIvlG+AAi+Ub4ACL5RvgAIvlG+AAi+Ub4ACL5RvgAIvlG+AAi+Ub4ACL5RvgAIvlG+VwIoRK9ewVe8LwCCb5QAEHyjBIDgGyUABN8oASD4RgkAwTdKkgGCFAgAQVECQFCUABAUJQAERQkAQVECQFCUABAUJRkAPd3tdrtf/zBPnu/zJ++bF5/vb8bexu37frB3tK9569svzL7lC15XgtreQ2H7gdzcQiIAOpgLYs6qPNndrrnsh93NyNsYfR9840H0LfT9844OENHXvkJvMNG3AvNm3GVcEgA6m1M77H75rTyLm/IsK0wO1Rl13sbom2/7UL3O6VvqYUcHiOp79gsx1Tdn/X3ZYur1LSUBoIM9mfKjcDYX/OnOfL7Kz8vN8G38vtUrbL7VUzJAVN+DV3dL9rWv5AT58CkAoO+fLfLlJ8uebf5xKPri/AN8Yz9w3bfx+VZ6vicC5OGbb/13cg1E9a3fRxT5+npWP0YCAKpVnEl9tg8mn+bP+sD4ZnCir1e1S/TNP/P+ti7f5/u3/3fnN5ig+JI/QF0JAqj8CNSn0STSXqC9Pyk0X1MJ8foWnYI/QC7fqoZmbm/R0Lxa8quARAH0UPTB9QmepwB68BjWkH0P3heO4Pt8n3v6A+TytTXx051nix2+eUP/7jnKLSQHoLMdJDgAOvtGmuKbfzh9LxzBtyw3vAFy+j7U/3s12OV7ttW05wUWA5BttwugQH4Imc2zD3P7mlTpCxC5vZ7OTt9z9QlSNworVc0+OGoVz0kKsq957hEQt6/tYjwB8mgvfd7Bp72+LZYBUN6F2PPqjRIKNReueRuvr5HHhaP42vltrynja7a35tELTBkAtef7D6YjaY216gvntSxA9q230ANC8g0AiNhez/kwX199GagDRm+m9NJcqCh+ZnwPdc1CDAjR18gvT9DaW00sE2s27+vgU5xLAKgzML37D7oAAAK2SURBVB+s1fSKUn5fWz3Ty3Oi78W6k1vt216qMd33/UXjKKxaBLZLxOfmoVE9U9p5G5tv/Qr1A032LUUHiOzrefdAqutgJACg865zgoP7VVrzFF4AEX2rV3wWzYm+hegAebaXPNam+5bTYZ4LGgIAgjQLAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUARNI+y142z759zLLb6zVGlAAQSV/ftZE5dnDatgAQTacs++F3+/ivn5rHmxcAIirvxN6YR+jA2gJAROWd2ItP5SN0YG0BIKryTuzHPy8lSeX/UCkARFXRcxWd2L7KRHZb1uKpqLWzqq/LX7zNy6WyvzNvbHZcjwAQWTkMOQGnuhYqOzMj26Xtq+dljZ1D8y/2yanzwqoEgOgqip+cijrhHG3yqSaJjoatIg0Vz4uskxP37T8L9Mo3rrF6AkB0FUT83PRDORYWh2O5MQfHPLdVUjNaO1aZZ7++FASAPFRWNK0OrKIhR+VlUWVbtvKnxSv2v0sF2DoFgHx0bFXMhhqjfXdgtq8AsltPnUp7XQJAPspTUJ2A7IhrUB2XAy4LUEWYra7fDAz1CwD5yAHQqfO0naLKzm+VA3kA5KMeQN0hlZnrKQrn/QCg5uW1LYIAIB+1AWoP6Esd6z5qFCD7lrXVQgDIR22AWlPSJUsNUHlu6gDUKYbWNo4HQD7qAFRND5a1z20rIx37NdCxNcBHBtqyOgAVoJRg2I7JzjOXxXWxvQGouh1tjTeCACAfdQFq1sKqZXr77H+qBdSXzX7ZSkfyAMhHPYD6i+x7O4I3A7ROEX1sL7quSQAIihIAgqIEgKAoASAoSgAIihIAgqIEgKAoASAoSgAIihIAgqIEgKAoASAoSgAIihIAgqL0/6cbpUOon3syAAAAAElFTkSuQmCC" width="288" style="float:left" /> <img src="data:image/png;base64,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" width="288" /></p>
  365 +<p><img src="data:image/png;base64,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" width="864" /></p>
  366 +<p>Como se puede observar en la evolución temporal reflejada en el gráfico, existen ciertas técnicas que más o menos son constantes en el tiempo, y existen otras que tienen o podrían tener una tendencia con pendiente negativa clara. A continuación se representarán los ataques por separado junto con sus estimaciones lineales para observar qué tendencias tienen una pendiente negativa más clara.</p>
  367 +<p><img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAJACAMAAABSRCkEAAAAzFBMVEUAAAAAADoAAGYAAP8AOpAAOv8AZrYAZv8zMzMzZv86AAA6ADo6AP86Ojo6Zv86kNs6kP9NTU1NTW5NTY5NbqtNjshmAABmAGZmAP9mZmZmtttmtv9uTU1uq+SOTU2Oq6uOyP+QOgCQOmaQOv+QkGaQkLaQkNuQ29uQ2/+rbk2rjk2r5P+2ZgC2Zv+2kDq2///Ijk3I///bkDrbkP/b///kq27k5Kvk///r6+v/tmb/tv//yI7/25D/2///5Kv//7b//8j//9v//+T///+7KzFEAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO2deWPctnbFmTd52fpenUliV61s1666xM24UUZRI1mpN33/71SSAEmAK5Z7yQvinD9scYY4A/L+5mLjkMUjBEWo2LoCUNoCQFCUABAUJQAERQkAQVECQFCUABAUJQAERQkAQVECQFCUABAUJQAERQkAQVECQFCUABAUpQwB+vO7otMXPy/sfV/vdrlKzVJU7gAtwXFyw4xRf/7Dhh++LABUFF9N76vyT/GXX9ernq0Pzzald1l5AvTl7/rvT68rPp5M7nveNvsAIIkyAVL5aDpEp9n8tIIAkDzZANUETUJymktPawgAyVMPoNlmCgAtCQBVMWopUX0i3Wdue9tqu9qv1+U+94doVvmKv/LN+jW1U+1o9MgHu5dDQvUxT6waCGYIANVR1FScrIGZBZDGxxz3n5sXWju7vAKo2etJ9/aTyd2Ly+a1mhkAJFF9gCoQ6hdUPuhCagJk8NOE89y9ovz65WuA/r3j7mQbjO1e/N3yBEASNQZQ3Yqcm0ie2ixxMv5QmefcvNcO39q9h+VPPRIuzb1mdq9xrT8OfSB5GgB03zVSl9YrHUD2e3XxU9t0nbuo98p3JN53eeTksHvbLwNA8jQF0NnoIJ90cBuA7ruOThnSXvx1kEfKn9oestFT116zu7cTUABInqYAOhnLYvddo9IfxpchrfY2kNIaKd/NQxq8lZ8/8XHGtOUZAInVRB/I7NMWRvfEBqjunWiA7OnHsfJdcQMEBdD87gBIsAYAqU5JP6JNR6cJqTEO6zd4tcbKewBk7w6ABGtiHmgeIHMYD4AMAaB6iH2pABhcGmSOwnRLo/tAowD1yy8ANL07ABKskbWwZhA9WPc6GVM83Zir34lW0R4pPwPQ/O4ASLCmVuPPNhLWKMwI7XDWSCeTkfJzAM3uDoAEa+p6oOqvJ+2L6jUd0gqR7q02YWkbjdRI+TmAZncHQIJlAqT6NjqTnIr+moaZgdqZRb1TS167uDEsPwfQ7O4tQAa6MpUnQLbsazm6gdZjF1K7jEJhdjHVXgkZBWhudwugQvKvQgCQ0UJ0ITVWFFRIO1r+pR0+3dv8jJSfBWhu926Qd28xLk+5A9RbjlAx7ZjqQtqlAmMAf+oR2C8/D9DM7saH1ARte2H2nDIECKIUAIKiBICgKAEgKEoACIoSAIKiBICgKAEgKEoACIoSAIKiBICgKAEgKEoACIoSAIKiBICgKAEgKEoACIrSWgDdBSisFHx5fQEQfKN8ARB8o3wBEHyjfAEQfKN8ARB8o3wBEHyjfAEQfKN8ARB8o3wBEHyjfAEQfKN8ARB8o3wBEHyjfAEQfKN8AVB1vx0WY1mB5vLNHiB1YykOZ1mB5vLNHaDm1mQM1rICzeWbOUDdze3ovWUFmssXAAGgKF8ABICifAEQAIryzRwgdKJjfXMHCMP4SN/sAboDQFG+AKgoHu/QhAX7AqAKoDsABIACVSiAMAoDQGEq+al8AVBaAMlRUZj/QZHKLgMVOgMxpCBZmYLLFwDdAaAYXwDUAEROkKxAc/lmDlDRAkSfgmQFmss3e4BaX/IUJCvQXL4AqPUFQGGlANBj9zelZAWayzdvgAoTIOoUJCvQXL65A2T6EqcgWYHm8gVAhi8ACimVMUBFHyBSgmQFmss3c4B6vgAooBQAeuy9QCRZgebyzRmgYgAQaQqSFWgu37wBGvhSpiBZgebyBUC2LwDyLgWAHoevUUhWoLl8MwaoGAOIMAXJCjSXb9YAjfnSpSBZgebyBUB9XwDkWSpXgIopgKgIkhVoLt+cAZrwBUB+pQAQAIrwzRagYhogIoJkBZrLN2OAJn0BkFcpADQAiIYgWYHm8s0VoGIGIKIUJCvQXL75AjTjS5OCZAWayxcAjfkCII9SAGgEIAqCZAWayzdTgIp5gEhSkKxAc/lmC9C8L0UKkhVoLl8ANO4LgJxL5QhQsQxQPEGyAs3lmytAi74AyLUUABoHKJogWYHm8s0SoMIBoPgUJCvQXL6ZAuTgG52CZAWayxcATfoCILdSAGgKoEiCZAWayzdHgAo3gGJTkKxAc/nmCZCbLwByKgWAJgGKI0hWoLl8MwSo/3y5aV8A5FIqQ4BcfeNSkKxAc/kCoDlfAORQKjeABk9InQMohiBZgebyzREgD18AtFwKAM0BFEGQrEBz+QKgeV8AtFgqM4CGD4mfByicIFmB5vLNECA/XwC0VAoAzQMUTJCsQHP55gbQsAVb8gVAC6VyA8jXNzgFyQo0ly8AWvQFQPOlsgJopAVbBiiQIFmB5vLNDqAAXwA0WwoALQIURpCsQHP5AiAHXwA0VyongMa6QC4ABREkK9BcvrkBFOYLgGZKASAAFOGbFUCjLZgTQCEEyQo0l29mAIX6AqDpUgDIBaAAgmQFmss3J4DGWzA3XwA0WYoCoPfPj8fjC73x8eXUxuYAhfsGpCBZgebyJQHo9ljrx99amI7Hn/4YbKQMUEAKkhVoLl8KgEpKXtW55ulj81/50ov+RuIAeRMkK9BcvhQAXSs+3j+vUtCDSjcjG1sDNNEFcvUFQBOl4gHS+viywkTT9PlNlZWsje0BivL1TkGyAs3lSwjQ++dluvn85odf6q3bkh1rI3WAvFOQrEBz+dIB1PSEdGt1W/Z+rA2lb5TCPyZYZQsWa0BTkV0r+BxdH491tmmZeTABehABULQDRTV2rtBzVPZy1HzPEkBa66XYVpN9GGdfz16QrKaGy5cIoEp1GyYWoKkxmI8vABorRQZQPWhf6gNtCFC8r18KkhVoLl9KgKphmNhRGAVAfilIVqC5fAkAamd56nH8tdpo5oFeWXskD5APQbICzeVLAFCJiWqg6oZK6Ez0dBfIyxcADUvFA6RmgEpaqgZL6FrYTO7wAsiDIFmB5vKlAKhER+mVsaEW4K2NHQDkk4JkBZrLlwQgddVPQ4nE64FmWjAAFOVLA5C31jtApbmmxw8gd4JkBZrLFwB5+gKgfqkcAJprwXwBciZIVqC5fHMBiM4XAPVKASBPgFwJkhVoLl8A5O0LgOxSGQA02wXyB8iRIFmB5vLNBCBSXwBklQJA3gC5ESQr0Fy+OQA034IF+AIgs1QOABH7uqUgWYHm8gVAIb4AyCi1e4AWWrAggFwIkhVoLt8sAKL3BUBdKQAUApADQbICzeW7f4CWWrAwXwDUlto/QBy+DilIVqC5fAFQoC8AakoBoDCAFgmSFWgu390DtNgFCgZzaQdZgebyzQAgHl8A1JQCQKKaxmXJ8t07QMstWPj8EpPvkmT57h8gHl8Ha1mB5vIFQBGLtEy+C5Llu3OAHFowSav8TpLlu3uAeHy1O5PvvGT5AiA5l8o6SpYvAIoJCADaOUAuXaAogCh/LuQqWb57B4jHt/sAJt85yfIFQHEAkd20wV2yfHcNkFMLFhcQALRvgHh83T5CVqC5fAFQZEAA0H4BcmvBYgEiuX2wj2T57hsgHt/epzD5TkqWb1IAffutV4GVAIp/iIufZPkmBpAXQivdRQMApQLQt0qu+zt2geIBinyUpq9k+SYIkCtCq91JDAClBpAbQgBoDd+UADIJWkbItQUjACjqefTekuWbFEB3dx4IrXg7XgCUDEAeCK0J0OhHyQo0l29yALki5NyCUQQEAKUEkBtCqz7TYvTDZAWayzdJgFwQWvehKAAoMYCWEVoZoJFPkxVoLt9kAVpAyL0LRBMQAJQeQLMIrf1kwZHPkxVoLt+kAZpBaPVHUwKgJAGaQsijBaMCaPCBsgLN5Zs8QOMIbfB8dwCUKkBjCG0BUP8jZQWay3cXAA0Q8mnByAICgBIGqIeQDz90APU+VFaguXz9ALovv9qXMgGyEdoCoH4KkhVoLl9XgO4rcCp+iuKJUIC8Lvbw8nVULwXJCjSXryNAp4qbT69rgL74WSpANkKuDNEFBABNAVSlnq8e//yu+PL3D8/Kv8QCFIIQAIrxdQPoVHd9zoVqx778XTBA/ggRAmQRJCvQXL5OAJVt12WN0V9+fSzzUPWvYIDuCj+ECAMCgMYB+vCs6vfoxisBgAqvLEQJkEmQrEBz+XoAdK8GYCQAsaqoj8JEaL2PXu2ThGquCTur8ddJeh+onYZ2zEKU32gzBcnKFFy+TgDV0JQtWEXOmWQiiPMAjSA6IUQaEAA0KjWDWJJTUiR6HqiS1RFxQIgWoO7DZQWay9cNIDWFWPZ9qj8o1jI4D7A3IbyIEG1AANC4ToXq+pxoetCMBzhciV9AiBig9tNlBZrL1xUgYjEe4NhK/CxCxAEBQDsEaBYhaoCaz5cVaC5fJ4A+/Ke59enfJE8kTl5LNokQdUAA0BCgZ8bI/b4QPRM9cy3ZBELkABU8vo1k+ToC1A69qnF8qgBNIEQeEADUVzd4Pxc01ySyHeDS1dAjCNEDVPD4asnydQKoIejP7+rrggjEdoDLV0MPEKIPCAAaI+iLn08FSfO1MUADhBgAqishK9Bcvo4ANZezklxRvzVAPYQYAgKAxgkiab1YAXL+QZiJEANAVS1kBZrL1xmgiiC6C4G4DtDjB2Hf9loyUgEgrWrUPpDgYbzXLwoZEQJAaQLk9ZPmO0aEqnrICjSX794A8jXlQggA8YrpAP0B4kKorImsQHP57gog3xas8eVACAAlCVCoLz1CdWNPY9VTmgDpBfl7klsryAOIHqGCjaAkAbrXs4j3RIsZLAcYGLDGlxShZsARbTRUigBVq6j1JdFnouUwlgMMDFfnS4dQN2SN8xlTigCd2h+DVSsaUn8XFg0QHUIAyFJJTQeN3F+mEgBENaoHQJbUb+O1xN5cITRafV8KhMx510CLSQEgNoBCXMd8CRCy5+7DPCaUIED6/kBKYm8wRQcQBUItOeQIJQiQvrVUA5PMW9wFR2ncNxohAxtahlIEqBrGqxxEdKNfhgMMjtCkbyRCpi9lU5YiQNU4vhXFdYkMB0gPUCRCPV8yhpIEyCBI6K8ywmMz6xuB0NCXhqE0AWoQIuhAcwEU4rnsG47QqC8BQ6kCRCr6A2QDKBihKd9YhABQagAFDslmfKMYSh6gD/8kcCIx4jvtVJsAhJbqG8pQmgCZwzCJM9ERbYJjbbwRclh6CWIoRYD071KzBsgbIbdfkfgzlCJAZ2tlR+BEYkyv1KM2Xgi5+fozlCBA9a0VHu+rKaAPz0Q+L2y9UY07Qs6+ngglCJCi5sOzqu369FrifaLXHBa7IuTj68NQkgBV0Gh07gUupq48r+KGkJ+ve1OWLEDlSOyy3pB3OUfU1G5IbVwQ8vZ1ZChdgM5190e1ZJkD5IJQiK8LQwkCpK+JPtcrYRKvSNwAoGWEAn0XGUoQoGoY/1V9VVD95F1xTVjc6mR4QOZH9eG+8wilCJC6uW8znSiuE73d6vYcQlGBnmEoRYCqCxHLvHNPNRG9G4DmEIoM9GRTliRAZctV5Z0qE5FcEUR6gBtfXzOFUHygxxlKEyBikR5g5DV+8QEZR4gk0CMMAaDdAXTHegf8HkOxFzROinUeyOj3nKWNwmJPKFGgBwgRZgoDofDriJa0FkAnaZdzxJ5OskD3EKJtajQ4xXi/iEI8AI3dZRMATclCiLqvYgeB1rsSUwY6DwESNg8kCCD+O+CnB9AwBVGM4wkPMPpkEmeK+enpSCUIkIKI7iEHDACFmC37hosRIQCUA0CcCCXXiWYS3QHGn0yWiTk2hNIfxgubB4o/mUwzu1wIJQ+QsHkgsQDd8dwBv65vQk2Y9Hkggm8j59oSB0KVbzoASZ8HIvgu8i5O0iNUA5TOKEz4PJB4gOgRqn3TAUhBJHYYnwBA1AgpgOgJ2hKg98+Px+OPv6mNjy/LjRePIxv0AFEMSNa4voYSIeWbFECWPr0e0HR9VHrRwnQ8/vTHYIMFoBCnZV8K2b50o3oNkJAbmPsCNPa0lQeFzvXxh1/qlPO0Bqd6ydrIGyA6hLRvigDpDnUfoGvNx3VFy4NKN++fVy2atcEAEMmU2nqXiNIg1ABETRA7QPoeU4N7K3x+U2WexwqXpy1Nn98cX/U2WAAKMVr2JdGYLwVCjW9aAN3rMfzcvV0qgFqabkt2rA0AVCseoRYgYoIYAWpvUDZ7a6A6z3x8qVur25Ima0PpG6U5H3eVNaIxWlcmQjE+Eg9+rE56LvqL/3o9D9Bt1eFpmXkwAXrgAojGZ3XRICTx8CfXwi57j50b6kEPwuYB0qJJsTRJfJPfWUU0ZJ2vhMdILQCk+FHczAOk+AFAzr7BCBkAkRLEBFA36JoF6Fbxs9gHogSI6LqYzX7pGYiQ4ZsCQN3y6QxAZf9Zo7LmKCz9xycFDclMgLZ/kN0CQO3sz5M5gEp+2sWKazXl08wDGRsAaEQBCJm+CQDU9qOnR2EmPyvORFNd2bkpQJF3wE8CoMelacRbc7F0vbUwqvy9MUBRd8CnbMN4Z6KbucQRhOorNo7tqvvD0ViAtzYA0JS8ELJ8kwHoUT04dWwt7OFoAbTW9UBkv00QANBd8B3wCVPQGpdznARdVE926mQAFHoH/LQAam63CYBYfN0Q6gG08ePEfQEqdQZAbL4uCPXPg/+nOPk6l/IGiELxB0j380xJAAXcAX/j85AwQCEey750CvVdQmgwGg37mEVf11IASBhAvnfA33Y0mipAhDcYkAeQ5x3wAVDAAW4+/8HtO42QrDVBACQUIJ874AMg7wOkvEWOVIDc74C/5XVRyQIU4rDsSykS3xGExn6dQvBJAChUogFyuwP+hj9vShMg0pu8CQfI6Q74AMjvAAVcyrmqr4XQKECb/cQbAKUA0PId8AGQ1wHmB9DS9PRm90lKEiDa+9wmAtACQgDI4wAl/KBuE98ZhLa6Wy0ASgmgOYQAkPMBEt+pPSmAphHa6JEPaQIUUnzZl1h8vuMIASDXA8weoPGLzrZ5blqCAFE/ayRFgEYRAkBuByjj1m7b+w4Q2uTp1QAoWYCGCAEgpwMEQN3fNkJxZyYXgMgft5YyQD2EAJDDAQq5wbYcXxOhmHMDgAKVOkBUj3LJBCD6B4amDxANQtkAFFJ22Zde6/rGIwSAArUPgOIRygMghkde7wWgWIRyASik6LIvg7bwjUEIAAVqTwDFIASAArUvgO6KUISyAIihC7Q3gO6KwCyUCUAhJZd9ObQZQEXYMxQAUKD2BpBaEfNHKAeAOFqwHQKkTpIvQnkAFFJw2ZdF2/k2Z8kPIQAUqP0C5IdQBgCxtGB7BMg8Tc4IZQFQSLl5HdLU/EHZ58kRob0DVD+mI+QQ53Q4rHTA1JpHqH+inBDaOUAFA0DJ4lNpnqD+Cw4I7Rsg/cQ7WoIOKx0tj+YIGjlRiwjtGqCiYCDosNLBMmm2FRs7TwsIASBfHVY6WC55pqC7BYQAkK8OKx0sl/x6QUozCAEgXx1WOlgueQ3EWk0itGuAWDrRh5UOlkvzk0HTp2oCoX0DxDGMP6x0sFxaAGjmZI0itHOA7himgVY6WC55TUf3NILQ3gGiX1s6rHSwXFoCaP77NkAIAPnqYNfpol5k+rrZfHv46+/s50F9ZvcQ4yurCo3etUtg35svLwC0eKuFHkIAyFcHs0ZXbZB0/FYA6G3vI1tQLu39bgIBWmzyLYQAkK8ORoU6fg4aHH6AOi4UGP/3t3b7Z2vHt2EAudztxUQIAHnq0NXnXfu1v2n+Ygeo4qVOPVe6FXur/7/ot2JXw1at0jJALqOOpSWyBfXqlCtAV11HpIxrTQ47QDdtQrlSzF40n3hldovqNy77hSstAuR4wykAFKhDVx/zO/62yQfMAL1tMXmnULroul8WQO/6TZqWA0COEx9owoJ06OpzNaSlA+iq6xhVUf5e9UkujcLG+1rdwGmkU9xXmfQuzUr0anPTS0iNlgFyv+cdAArQoatP0/14NF9SUWy7uqq9KQG6Mvva3ftWP8ULIJ1ibrTnVa+zXNXk7WFYQxeA3OdeAZC3DkaFLgYMaIBuup7tZbPj1/Xbau8m6m/t0l4ANQ1oj9Xu7b/+bex1B4B8bruZ1DBehA7G390QusFAA9Tv2bZDpLd12ijL6QI3Ez2VZXUldS16Phe94f5Y/adUrBzRbDPQcLZOAWQFV/V0m5ak7vMa/ZOJwfai3rUZqiPFbKwqqn7VO1pvuGQgjxSUVAYKq2pIqRkd+rV6ZxKkADIGRGqQdGGnqKvotQ+Ln6+V0USv+Z3dGLoB5EwQAPLVYaxmN00bongwBkTqz4u2GanZMpoXK+zOfaAuxXXzQjf93k6jCyvJOQHknoIAkK8O43V7q8LXANTLMN2k3k0QQE2Bn9sP+/Vx8OfIrIJ+PQAgV4IAkK8ObXXsmbsLC6ClDDTe8XEE6MIgZfBRQ4UA5JyCAJCvDm11bnox7gAa6QN1ANV9oJj5agu/q4kMZFXBbNpcAXIkCAD56tBWxxrfaJraUdhlu48ahZlz0nowX8ufJTt9WX2gr63XL9u/zBG+I0CuKQgA+erQ1af89jfhv2hnBqfmgVQ423kg/f67xfnCvnrj/mq43sxJWqA0H3nTWzBxBsiNIADkq0NXH+NSnCZ6w5noOj9c6GH+ld6+OdjrEO66MT/ye/uFZpL7srejNcXoCpBjCgJAvjqYNbroR2lyLewf7XWF9n3fBuyqD1B/We3GvEZpyI8HQE4EASBfHew6XdlB6q3GN61N1fOpX+hdyOy9jmEnve7KoM7a6NpfGPu0cgbILQUBIF8dQmp+MTHHt4E8AHIhCAD56hBS8yQBckpBAMhXh5CaJwqQA0EAyFeHkJqnCZBLCgJAvjqE1DxVgJYJAkC+OoTUPFGAHFIQAPLWYaWj5ZEXPw4pCAB5a793aR0RAOK48/thpeMl19KtxodaTEEAKESHRBVwqACIA6CMfAGQsICk5rvUhgGgQGXjC4BCSsG31UIKAkCByscXALEoH9/5FASAApWRLwDiUEa+sykIAAUqJ18AxKCcfOdSEAAKVFa+AIheWfnOpCAAFKi8fAEQufLynU5BAChQmfkCIGpl5juZggBQoHLzBUDEys13KgUBoEBl5wuAaJWd70QKAkCBys8XAJEqP9/xFASAApWhLwCiVIa+oykIAAUqR18ARKgcfcdSEAAKVJa+AIhOWfqOpCAAFKg8fQEQmfL0HaYgABSoTH0BEJUy9R2kIAAUqFx9ARCRcvXtpyAAFKhsfQEQjbL17aUgABSofH0BEIny9bVTEAAKVMa+AIhCGftaKQgABSpnXwBEoJx9zRQEgAKVtS8AilfWvkYKAkCByttXDEAfXz5t/zoejy/GNgCQPF8xAF0fNUDvnx8r/fTHYAMACfTt2rBtAbo+aoDKlPO0BudFfwMAifQVAVCdaBRADyrdvH/+42+9DQAk0rdNQRsCdFvS86ABulbZ5vOb46veBgCS6SsBoB9+edQAfX5T/q2gemFvACChvk0K2rgTrQH6+FK3VrfltrWh9I1S8MdA9KKcu6ED6MEE6AEACVZBSBA7QFphyTKkFHyXVUT4AiD46l6QMIAm+kAASKKvIIAwCkvRt05BMgB6vFZTPs08kLEBgOT6CgIIM9Ep+lYpSAhAWAtL0lcOQOUfxgK8tQGA5PqWKUgKQLgeKEnfzQHyU1hVQ0rB101FpYByAAi+tYpAggAQfCsVRSBBAAi+dx0//gQBIPjeAaAowRcARQm+AChK8L1DJzpG8K2EYXyw4FsLE4mhgm+MLwCCb5QvAIJvlC8Agm+ULwCCb5QvAIJvlC8Agm+ULwCCb5QvAIJvlC8Agm+ULwCCb5QvAIJvlC8Agm+ULwCCb5QvAIJvlO9GAIWI68Z48CX0BUDwjRIAgm+UABB8owSA4BslAATfKAEg+EZJMkBQAgJAUJQAEBQlAARFCQBBUQJAUJQAEBQlAARFSQZA9UOgm8dr9G9V/vHl07HdqH2HN0eP9lW7Du7aH+tbv+F1Jlzre13ZvuqXnpUIgK7VCVFHVR+s+bCE6+aW+NZuhL63vvFw9K30+c3wsQ+xvvod9wo7+jZgPh13GZcEgB7UoV0fq4eNDR7Xct09oN7YjdC3fO1V8z6lb63bkeeGxPoOHgdJ41uy/qKusev5rSUBIP2wefVV6D0wqv6+PB3uRu87fERVpG+z6QyQq++1V3Pr7KvfGT5tclYCAGofc1h/s/TR6kfWlV/gp/1HI7p+AR19G7WP6yT0LV/9V+c+kKtvu5+jnM+vZ+9HSQBAraoj6T0087bc6gPjm8Edfb16u46+5Xfe33bJ9+PLn/73ud9gwsXX+QtkSxBA9Vdg5LG9vUB7f1PcfFVPiNa3ahT8AVrybfrQxPWtKlo97c0vvUkC6LZqg0ceHN4D6NZjWOPse+194hx8P74sPf0BWvLVfeL3zz1rvOBbVvS/PUe5leQA9KAHCQsAPfhG2sW3/HL6njgH37q74Q3Qou9t+79XhZd8H3Rv2vMEiwFI13sJoEB+HDKbZxu27KtSpS9AzvX1dF70fWi+QcmNwmo1sw8LfRXPSQpnX7XtEZBlX93EeALkUV/3eQef+vrWWAZAZROij6s3SqjUnbhuN1pfJY8T5+Kr57e9poy3rG/LoxeYMgAy5/uvVUNijLXaE+e1LODs277iHhAn3wCAHOvrOR/m65teBrLA6M2UPnYnKoqfGd/rts/iGBBHXyW/POFW32Zi2bHP5n0efDrnEgCyBuaDtZpep5TeV/ee3bvnjr6P2t251r71dTV2933xmOIorFkE1kvED92fSu1MqbUbmW/7jusX2tm3ljtAzr6eVw9wnQclAQA9HK0DHFyvYsxTeAHk6Nu847No7uhbyR0gz/o6j7XdfevpMM8FDQEAQSkLAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUABEUJAEFRAkBQlAAQFCUA5KRTUXzVbX16XRSX21VGlACQkz48M5E5WzjlLQDkpvui+Muv+u8/v+v+zmde1OIAAAHmSURBVF4AyFFlI/ZE/YUGzBQAclTZiH3xc/0XGjBTAMhVZSP25e+PNUn1/1AtAOSqquWqGrFTk4n0a4XBU9XXLpq2rnzzsuwu1e2d2rEruB8BIGeVMJQE3Ld9oboxU9JN2qnZrvvYJTT/rDfurTd2JQDkrqrzU1LRJpyzTj7NJNFZsVWloWq7yjolcZ/+o0Kv3nGPvScA5K6KiL937VCJhcbhXL9YgqO2dS+pG62dm8xz2l8KAkAeqns0RgPW0FCi8lXVy9ZslZvVO/q/xwawfQoA+ehs9JgVNUone2B2agDSr95bPe19CQD5qExBbQLSI65B77gecGmAGsJ07/rJwDB9ASAfLQB0b22aKapu/HY5kAdAPuoBZA+p1FxP1XE+DQDq3t7bIggA8pEJkDmgr3Vu26hRgPQue+sLASAfmQAZU9I1Sx1QZW6yALI6Q3sbxwMgH1kANdODdd/n0shI534f6GwM8JGBcpYFUAVKDYZumPQ8c925rl7vAGouR9vjhSAAyEc2QN1aWLNMr7f+p1lA/aorV+x0JA+AfNQDqL/IftIjeDVAszrRZ3PRdU8CQFCUABAUJQAERQkAQVECQFCUABAUJQAERQkAQVECQFCUABAUJQAERQkAQVECQFCUABAUpf8HSFW09kar8o0AAAAASUVORK5CYII=" width="288" /> <img src="data:image/png;base64,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" width="288" style="float:left" /> <img src="data:image/png;base64,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