R-Crypto

R-Crypto

R-Crypto is an open-source cryptographic toolkit for the R programming language. It provides various cryptographic and hashing algorithms like AES, RSA, SHA256 etc. for data encryption, decryption, signing and verification within R.
R-Crypto image
encryption decryption cryptography signing verification hashing aes rsa sha256

R-Crypto: Open-Source Cryptographic Toolkit for R Programming Language

An open-source cryptographic toolkit providing various algorithms like AES, RSA, SHA256 for data encryption, decryption, signing and verification in R.

What is R-Crypto?

R-Crypto is an open-source cryptographic toolkit written purely in R that allows cryptographic and hashing operations to be performed within the R programming language. It aims to provide easy-to-use interfaces to various symmetric, asymmetric, and hashing algorithms.

Some of the key features of R-Crypto include:

  • Implementation of algorithms like AES, DES, RSA, ElGamal, SHA256, SHA512 etc.
  • Key generation functions for various asymmetric crypto algorithms.
  • Encryption, decryption, signing, verification functions for symmetric and asymmetric encryption.
  • Various hashing and MAC functions like SHA256, HMAC etc.
  • Utility functions for encoding, ciphertext handling etc.
  • Secure random number generation.
  • Pure R implementation without calling external libraries.

R-Crypto can be useful for statisticians, data scientists and security engineers to easily incorporate encryption, hashing and signature generation capabilities into their R-based data analysis workflows. Its open-source nature allows full transparency into its working and the ability to customize as needed.

R-Crypto Features

Features

  1. Provides various cryptographic and hashing algorithms like AES, RSA, SHA256 etc
  2. Implements symmetric and asymmetric encryption and decryption
  3. Supports digital signatures and verification
  4. Has functions for key generation, key management and crypto wrappers
  5. Integrates seamlessly with R programming language

Pricing

  • Open Source

Pros

Open source and free to use

Wide range of cryptographic algorithms supported

Easy to use R interface

Active development and maintenance

Good documentation and examples

Cons

Limited to R ecosystem only

Not as full-featured as standalone crypto libraries

Cryptographic best practices need to be implemented carefully by user

Relatively new project with limited adoption so far


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