Commit f376d0cf48a69f59fbd8dd784b772a3057c4860c
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274ef06d
Cambias parser hackmaggedon
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78 changed files
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125 additions
and
11 deletions
ISO27001effectiveness/DESCRIPTION
@@ -8,4 +8,5 @@ Description: More about what it does (maybe more than one line) | @@ -8,4 +8,5 @@ Description: More about what it does (maybe more than one line) | ||
8 | Use four spaces when indenting paragraphs within the Description. | 8 | Use four spaces when indenting paragraphs within the Description. |
9 | License: What license is it under? | 9 | License: What license is it under? |
10 | Encoding: UTF-8 | 10 | Encoding: UTF-8 |
11 | -LazyData: true | ||
12 | \ No newline at end of file | 11 | \ No newline at end of file |
12 | +LazyData: true | ||
13 | +RoxygenNote: 5.0.1 |
ISO27001effectiveness/Main.R
@@ -6,6 +6,8 @@ Cert_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_prepro | @@ -6,6 +6,8 @@ Cert_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_prepro | ||
6 | Sites_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 2) | 6 | Sites_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 2) |
7 | Cert_PerSector <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 3) | 7 | Cert_PerSector <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 3) |
8 | 8 | ||
9 | -Cert_PerCountry <- ProccesISOSurveyByCountryRaw(Cert_PerCountry, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | ||
10 | -Sites_PerCountry <- ProccesISOSurveyByCountryRaw(Sites_PerCountry, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | ||
11 | -#Cert_PerSector <- ProccesISOSurveyRaw(Cert_PerSector, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | 9 | +Cert_PerCountry <- ProccesISOSurveyByCountryRaw(Cert_PerCountry, c("X2012", "X2013", "X2014", "X2015")) |
10 | +Sites_PerCountry <- ProccesISOSurveyByCountryRaw(Sites_PerCountry, c( "X2012", "X2013", "X2014", "X2015")) | ||
11 | +#Cert_PerSector <- ProccesISOSurveyRaw(Cert_PerSector, c("X2012", "X2013", "X2014", "X2015")) | ||
12 | + | ||
13 | +Attacks <- GetAttacksData() |
ISO27001effectiveness/NAMESPACE
ISO27001effectiveness/R/Hackmageddon_Parser.R
@@ -4,33 +4,62 @@ | @@ -4,33 +4,62 @@ | ||
4 | 4 | ||
5 | 5 | ||
6 | 6 | ||
7 | -ParseHMExcel <- function(file){ | 7 | +ParseHMExcel <- function(file, cols){ |
8 | print(file) | 8 | print(file) |
9 | if (!file.exists(file)) { | 9 | if (!file.exists(file)) { |
10 | stop(paste("Error, file [", file, "] not found")) | 10 | stop(paste("Error, file [", file, "] not found")) |
11 | } | 11 | } |
12 | - dataset <- read.xlsx2(file, 1, header = TRUE,colIndex = 2:10, colClasses = c("Date", "character", "character", "character", "character", "character", "character", "character")) | 12 | + dataset <- xlsx::read.xlsx2(file, 1, header = TRUE,colIndex = cols, colClasses = c("numeric", "character", "character", "character")) |
13 | + | ||
14 | + if (is.null(dataset$Date)) { | ||
15 | + dataset <- xlsx::read.xlsx2(file, 1, header = TRUE,colIndex = cols, colClasses = c("numeric", "character", "character", "character"), startRow = 2) | ||
16 | + } | ||
17 | + | ||
13 | dataset | 18 | dataset |
14 | } | 19 | } |
15 | 20 | ||
16 | ProccesHMRaw <- function(dataset.raw){ | 21 | ProccesHMRaw <- function(dataset.raw){ |
17 | 22 | ||
18 | #Remove rows with Date NA | 23 | #Remove rows with Date NA |
24 | + print(class(dataset.raw$Date)) | ||
19 | dataset <- dataset.raw[!is.na(dataset.raw$Date),] | 25 | dataset <- dataset.raw[!is.na(dataset.raw$Date),] |
26 | + dataset$Date <- as.POSIXct(dataset$Date*86400, tz ="GMT", origin ="1904-01-01") | ||
20 | 27 | ||
21 | dataset | 28 | dataset |
22 | } | 29 | } |
23 | 30 | ||
24 | -ParseHMFolder <- function(folder){ | 31 | +#' Title |
32 | +#' | ||
33 | +#' @param folder | ||
34 | +#' @param cols | ||
35 | +#' | ||
36 | +#' @return | ||
37 | +#' @export | ||
38 | +#' | ||
39 | +#' @examples | ||
40 | +ParseHMFolder <- function(folder, cols){ | ||
25 | filelist <- list.files(folder) | 41 | filelist <- list.files(folder) |
26 | #frames <- lapply(paste(folder,filelist,sep = ""),ParseHMExcel) | 42 | #frames <- lapply(paste(folder,filelist,sep = ""),ParseHMExcel) |
27 | - dataset <- ProccesHMRaw(ParseHMExcel(paste(folder,filelist[1],sep = "/"))) | 43 | + |
44 | + myFile <- paste(folder,filelist[1],sep = "") | ||
45 | + dataset <- ProccesHMRaw(ParseHMExcel(myFile, cols)) | ||
28 | 46 | ||
29 | for (i in 2:length(filelist)) { | 47 | for (i in 2:length(filelist)) { |
30 | - dataset <- rbind(dataset, ProccesHMRaw(ParseHMExcel(paste(folder,filelist[i],sep = "/")))) | 48 | + dataset <- rbind(dataset, ProccesHMRaw(ParseHMExcel(paste(folder,filelist[i],sep = ""), cols))) |
31 | } | 49 | } |
32 | 50 | ||
33 | dataset | 51 | dataset |
34 | } | 52 | } |
35 | 53 | ||
54 | +GetAttacksData <- function() { | ||
55 | + | ||
56 | + format1 <- ParseHMFolder("./data/hackmageddon/Format1/", c(2, 9, 7, 6)) | ||
57 | + format2 <- ParseHMFolder("./data/hackmageddon/Format2/", c(2,7, 5, 6)) | ||
58 | + format3 <- ParseHMFolder("./data/hackmageddon/Format3/", c(2, 9, 7, 6)) | ||
59 | + format4 <- ParseHMFolder("./data/hackmageddon/Format4/", c(1, 9, 5, 3)) | ||
60 | + | ||
61 | + dataset <- rbind(format1, format2, format3, format4) | ||
62 | + | ||
63 | + dataset | ||
64 | +} | ||
36 | 65 |
ISO27001effectiveness/R/ISOSurvey_Parser.R
@@ -21,7 +21,7 @@ ParseExcelFileRaw <- function(file, sheet){ | @@ -21,7 +21,7 @@ ParseExcelFileRaw <- function(file, sheet){ | ||
21 | stop(paste("Error, file [", file, "] not found")) | 21 | stop(paste("Error, file [", file, "] not found")) |
22 | } | 22 | } |
23 | 23 | ||
24 | - dataset <- read.xlsx2(file, sheet,colClasses = c("character","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric"), header = TRUE, as.data.frame = TRUE) | 24 | + dataset <- xlsx::read.xlsx2(file, sheet,colClasses = c("character","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric","numeric"), header = TRUE, as.data.frame = TRUE) |
25 | 25 | ||
26 | dataset | 26 | dataset |
27 | } | 27 | } |
ISO27001effectiveness/data/hackmageddon/2016/1-15 April 2016 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/1-15 April 2016 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/1-15 August 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/1-15 August 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2016/1-15 July 2016 Cyber Attacks Timelines.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/1-15 July 2016 Cyber Attacks Timelines.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/1-15 November 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/1-15 November 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/16-30 November 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-30 November 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/16-30 September 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-30 September 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2016/16-30 September 2016 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-30 September 2016 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/16-31 August 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-31 August 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2016/16-31 August 2016 Cyber Attacks Timelines.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-31 August 2016 Cyber Attacks Timelines.xlsx
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ISO27001effectiveness/data/hackmageddon/Format1/16-31 December 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2016/16-31 January 2016 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-31 January 2016 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/2015/16-31 October 2015 Cyber Attacks Timeline.xlsx renamed to ISO27001effectiveness/data/hackmageddon/Format1/16-31 October 2015 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/data/hackmageddon/Format4/Hackmageddon2013 Def3.xlsx
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ISO27001effectiveness/data/hackmageddon/Format4/hackmageddon 2012 def.xlsx
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ISO27001effectiveness/data/test/16-31 Mar 2014 Cyber Attacks Timeline.xlsx
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ISO27001effectiveness/man/GetCountryAbrev.Rd
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1 | +% Generated by roxygen2: do not edit by hand | ||
2 | +% Please edit documentation in R/Util.R | ||
3 | +\name{GetCountryAbrev} | ||
4 | +\alias{GetCountryAbrev} | ||
5 | +\title{Return the 2 letter code of a country relation} | ||
6 | +\usage{ | ||
7 | +GetCountryAbrev() | ||
8 | +} | ||
9 | +\value{ | ||
10 | +data.frame | ||
11 | +} | ||
12 | +\description{ | ||
13 | +Relation of country names included in the ISO Survey input file with 2 letter code | ||
14 | +included on the hackmaggedon input files | ||
15 | +} | ||
16 | + |
ISO27001effectiveness/man/LoadParserLibraries.Rd
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1 | +% Generated by roxygen2: do not edit by hand | ||
2 | +% Please edit documentation in R/Util.R | ||
3 | +\name{LoadParserLibraries} | ||
4 | +\alias{LoadParserLibraries} | ||
5 | +\title{Install and load required libraries} | ||
6 | +\usage{ | ||
7 | +LoadParserLibraries() | ||
8 | +} | ||
9 | +\description{ | ||
10 | +This function checks if every required library is installed to be loaded, if not they will be installed and then loaded. | ||
11 | +Libraries installed: | ||
12 | + xlsx to parse excel files like ISO survey source format | ||
13 | +} | ||
14 | + |
ISO27001effectiveness/man/ParseExcelFileRaw.Rd
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1 | +% Generated by roxygen2: do not edit by hand | ||
2 | +% Please edit documentation in R/ISOSurvey_Parser.R | ||
3 | +\name{ParseExcelFileRaw} | ||
4 | +\alias{ParseExcelFileRaw} | ||
5 | +\title{Get data frame from an excel file} | ||
6 | +\usage{ | ||
7 | +ParseExcelFileRaw(file, sheet) | ||
8 | +} | ||
9 | +\arguments{ | ||
10 | +\item{file}{path to excel file} | ||
11 | + | ||
12 | +\item{sheet}{index of sheet to parse} | ||
13 | +} | ||
14 | +\value{ | ||
15 | +data.frame | ||
16 | +} | ||
17 | +\description{ | ||
18 | +Check if the file exists and then parse it into a data.frame | ||
19 | +} | ||
20 | +\examples{ | ||
21 | +Cert_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 1) | ||
22 | +Sites_PerCountry <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 2) | ||
23 | +Cert_PerSector <- ParseExcelFileRaw("./data/ISO/iso_27001_iso_survey2015_preprocessed.xlsx", 3) | ||
24 | +} | ||
25 | + |
ISO27001effectiveness/man/ProccesISOSurveyByCountryRaw.Rd
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1 | +% Generated by roxygen2: do not edit by hand | ||
2 | +% Please edit documentation in R/ISOSurvey_Parser.R | ||
3 | +\name{ProccesISOSurveyByCountryRaw} | ||
4 | +\alias{ProccesISOSurveyByCountryRaw} | ||
5 | +\title{Process raw data from ISO survey} | ||
6 | +\usage{ | ||
7 | +ProccesISOSurveyByCountryRaw(dataset.raw, years) | ||
8 | +} | ||
9 | +\arguments{ | ||
10 | +\item{dataset.raw}{raw data from ISO Survey excel file} | ||
11 | + | ||
12 | +\item{years}{List of years to return, c("X2006", "X2010", ...)} | ||
13 | +} | ||
14 | +\value{ | ||
15 | +data.frame | ||
16 | +} | ||
17 | +\description{ | ||
18 | +Proccess the raw data from ISO survey to replace NAs, normalizate country names and filter years | ||
19 | +} | ||
20 | +\examples{ | ||
21 | + | ||
22 | +Cert_PerCountry <- ProccesISOSurveyRaw(Cert_PerCountry, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | ||
23 | +Sites_PerCountry <- ProccesISOSurveyRaw(Sites_PerCountry, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | ||
24 | +Cert_PerSector <- ProccesISOSurveyRaw(Cert_PerSector, c("X2010", "X2011", "X2012", "X2013", "X2014", "X2015")) | ||
25 | +} | ||
26 | + |