entropy: A platform independent entropy source

[ bsd3, cryptography, data, library ] [ Propose Tags ]

A mostly platform independent method to obtain cryptographically strong entropy (RDRAND, urandom, CryptAPI, and patches welcome) Users looking for cryptographically strong (number-theoretically sound) PRNGs should see the DRBG package too.


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Versions [faq] 0.1, 0.2, 0.2.1, 0.2.2, 0.2.2.1, 0.2.2.2, 0.2.2.3, 0.2.2.4, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.4.1, 0.3.5, 0.3.6, 0.3.7, 0.3.8, 0.4, 0.4.1, 0.4.1.1, 0.4.1.2, 0.4.1.3, 0.4.1.4, 0.4.1.5
Dependencies base (>=4.8 && <5), bytestring, ghcjs-dom, jsaddle, unix, Win32 (>=2.5) [details]
License BSD-3-Clause
Copyright Thomas DuBuisson <thomas.dubuisson@gmail.com>
Author Thomas DuBuisson <thomas.dubuisson@gmail.com>
Maintainer Thomas DuBuisson <thomas.dubuisson@gmail.com>
Category Data, Cryptography
Home page https://github.com/TomMD/entropy
Bug tracker https://github.com/TomMD/entropy/issues
Source repo head: git clone https://github.com/TomMD/entropy
Uploaded by ThomasDuBuisson at Fri Sep 6 20:31:17 UTC 2019
Distributions Arch:0.4.1.5, Debian:0.4.1.1, Fedora:0.4.1.4, FreeBSD:0.3.7, LTSHaskell:0.4.1.4, NixOS:0.4.1.5, Stackage:0.4.1.4
Downloads 108892 total (890 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2019-09-06 [all 1 reports]

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halvm

Build for the HaLVM

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Readme for entropy-0.4.1.5

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Introduction

This package allows Haskell users to easily acquire entropy for use in critical security applications by calling out to either windows crypto api, unix/linux's /dev/urandom. Hardware RNGs (currently RDRAND, patches welcome) are supported via the hardwareRNG function.

Quick Start

To simply get random bytes use getEntropy:

#!/usr/bin/env cabal
{- cabal:
    build-depends: base, entropy, bytestring
-}
import qualified Data.ByteString as BS
import           System.Entropy

main :: IO ()
main = print . BS.unpack =<< getEntropy 16
-- Example output: [241,191,215,193,225,27,121,244,16,155,252,41,131,38,6,100]

Faster Randoms from Hardware

Most x86 systems include a hardware random number generator. These can be faster but require more trust in the platform:

import qualified Data.ByteString as B
import           System.Entropy

eitherRNG :: Int -> IO B.ByteString
eitherRNG sz = maybe (getEntropy sz) pure =<< getHardwareEntropy sz

main :: IO ()
main = print . B.unpack =<< eitherRNG 32

This package supports Windows, {li,u}nix, QNX, and has preliminary support for HaLVM.

Typically tested on Linux and OSX - testers are as welcome as patches.

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