Detect Data Containing Personally Identifiable Information

Allows users to quickly and easily detect data containing Personally Identifiable Information (PII) through convenience functions.

detector

detector makes detecting data containing Personally Identifiable Information (PII) quick, easy, and scalable. It provides high-level functions that can take vectors and data.frames and return important summary statistics in a convenient data.frame. Once complete, detector will be able to detect the following types of PII:

• Full name
• Home address
• E-mail address
• National identification number
• Passport number
• Social Security number
• IP address
• Vehicle registration plate number
• Driver's license number
• Credit card number
• Date of birth
• Birthplace
• Telephone number
• Latitude and longtiude

State of the Union

• E-mail address
• Telephone number
• National identification number

Needs more work...

• Credit card number

Haven't even started :(

• Full name
• Date of birth
• Home address
• IP address
• Vehicle registration plate number
• Driver's license number
• Birthplace
• Latitude and longtiude

Installation

You can install:

• the latest released version from CRAN with

  install.packages("detector")

• the latest development version from github with

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

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

API

Generate data containing fake PII

library(dplyr, warn.conflicts = FALSE)
library(generator)
n <- 6
ashley_madison <- 
  data.frame(name = r_full_names(n), 
             email = r_email_addresses(n), 
             phone_number = r_phone_numbers(n, use_hyphens = TRUE, 
                                            use_spaces = TRUE), 
             stringsAsFactors = FALSE)
ashley_madison %>% 
  knitr::kable(format = "markdown")

Detect data containing PII

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