In paulhendricks/anonymizer: Anonymize Data Containing Personally Identifiable Information

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

anonymizer

anonymizer anonymizes data containing Personally Identifiable Information (PII) using a combination of salting and hashing. You can find quality examples of data anonymization in R here, here, and here.

Installation

You can install the latest development version from CRAN:

install.packages("anonymizer")
````

Or from GitHub with:

```R
if (packageVersion("devtools") < 1.6) {
  install.packages("devtools")
}
devtools::install_github("paulhendricks/anonymizer")

If you encounter a clear bug, please file a minimal reproducible example on GitHub.

API

anonymizer employs four convenience functions: salt, unsalt, hash, and anonymize.

library(dplyr, warn.conflicts = FALSE)
library(anonymizer)
letters %>% head
letters %>% head %>% salt(.seed = 1)
letters %>% head %>% salt(.seed = 1) %>% unsalt(.seed = 1)
letters %>% head %>% hash(.algo = "crc32")
letters %>% head %>% salt(.seed = 1) %>% hash(.algo = "crc32")
letters %>% head %>% anonymize(.algo = "crc32", .seed = 1)

Generate data containing fake PII

library(generator)
n <- 6
set.seed(1)
ashley_madison <- 
  data.frame(name = r_full_names(n), 
             snn = r_national_identification_numbers(n), 
             dob = r_date_of_births(n), 
             email = r_email_addresses(n), 
             ip = r_ipv4_addresses(n), 
             phone = r_phone_numbers(n), 
             credit_card = r_credit_card_numbers(n), 
             lat = r_latitudes(n), 
             lon = r_longitudes(n), 
             stringsAsFactors = FALSE)
knitr::kable(ashley_madison, format = "markdown")

Detect data containing PII

library(detector)
ashley_madison %>% 
  detect %>% 
  knitr::kable(format = "markdown")

Anonymize data containing PII

ashley_madison[] <- lapply(ashley_madison, anonymize, .algo = "crc32")
ashley_madison %>% 
  knitr::kable(format = "markdown")

Citation

To cite package ‘anonymizer’ in publications use:

Paul Hendricks (2015). anonymizer: Anonymize Data Containing Personally Identifiable Information. R package version 0.2.0. https://github.com/paulhendricks/anonymizer

A BibTeX entry for LaTeX users is

@Manual{,
  title = {anonymizer: Anonymize Data Containing Personally Identifiable Information},
  author = {Paul Hendricks},
  year= {2015}, 
  note = {R package version 0.2.0},
  url = {https://github.com/paulhendricks/anonymizer},
}

paulhendricks/anonymizer documentation built on May 24, 2019, 8:27 p.m.