Privacy/Security

Misc

Also see Simulation, Data
Packages
- {xxhashlite} - Very fast hash functions using xxHash
- {{metasyn}} - For generating synthetic tabular data with a focus on privacy
- {simPop} (Vignette) - Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms
- {sdcmicro} (CRAN)- For the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files.
- {diffpriv} - Implements the formal framework of differential privacy: differentially-private mechanisms can safely release to untrusted third parties: statistics computed, models fit, or arbitrary structures derived on privacy-sensitive data.
- {encryptr} - Encrypt and decrypt data frame or tibble columns using the strong RSA public/private keys
- {encryptedRmd} - Encrypt Html Reports Using ‘Libsodium’
Tools
- staticrypt - Password protect a static HTML page, decrypted in-browser in JS with no dependency. No server logic needed. (Useful for HTML reports)
  - hrbrmstr: “Please use long,”complex” *passphrases* for this tool/docs. These documents are susceptible to brute-force attacks, so you gotta make it hard for the attacker.
    
    It uses solid encryption practices (AES-256 encryption; PBKDF2 for password hashing w/decent iterations); but — unlike public/private key-based message exchanges — once the password leaks, there’s no access revocation”

Tag sensitive information in dataframes

names(df)
[1] "date" "first_name" "card_number" "payment"
# assign pii tags
attr(df, "pii") <- c("name", "ccn", "transaction")