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cprng-aes: Crypto Pseudo Random Number Generator using AES in counter mode.

[ bsd3, cryptography, deprecated, library ] [ Propose Tags ] [ Report a vulnerability ]
Deprecated in favor of cryptonite

Simple crypto pseudo-random-number-generator with really good randomness property.

Using ent, a randomness property maker on one 1Mb sample: Entropy = 7.999837 bits per byte. Optimum compression would reduce the size of this 1048576 byte file by 0 percent. Chi square distribution for 1048576 samples is 237.02 Arithmetic mean value of data bytes is 127.3422 (127.5 = random) Monte Carlo value for Pi is 3.143589568 (error 0.06 percent)

Compared to urandom with the same sampling: Entropy = 7.999831 bits per byte. Optimum compression would reduce the size of this 1048576 byte file by 0 percent. Chi square distribution for 1048576 samples is 246.63 Arithmetic mean value of data bytes is 127.6347 (127.5 = random). Monte Carlo value for Pi is 3.132465868 (error 0.29 percent).

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Versions [RSS] 0.1.0, 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 0.6.0, 0.6.1
Dependencies base (>=3 && <5), bytestring (<0.11), cereal (>=0.3.0 && <0.4.0), cipher-aes (>=0.2.2 && <0.3), crypto-random-api (>=0.2 && <0.3), entropy (>=0.2), random [details]
License BSD-3-Clause
Copyright Vincent Hanquez <vincent@snarc.org>
Author Vincent Hanquez <vincent@snarc.org>
Maintainer Vincent Hanquez <vincent@snarc.org>
Revised Revision 1 made by Bodigrim at 2023-01-28T12:24:37Z
Category Cryptography
Home page http://github.com/vincenthz/hs-cprng-aes
Source repo head: git clone git://github.com/vincenthz/hs-cprng-aes
Uploaded by VincentHanquez at 2013-08-10T17:07:14Z
Distributions Debian:0.6.1, Fedora:0.6.1, FreeBSD:0.6.1
Reverse Dependencies 20 direct, 3586 indirect [details]
Downloads 122287 total (91 in the last 30 days)
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Status Docs uploaded by user
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Readme for cprng-aes-0.4.0

[back to package description]

CPRNG-AES

This module provides a crypto pseudo random number generator using AES in counter mode.

to import:

import Crypto.Random.AESCtr

to use:

rng <- makeSystem
let (ran, rng') = getRandomBytes rng 1024

it's also an instance of CryptoRandomGen from the crypto-api package.

Statistics

Using ent, a randomness property maker on one 1Mb sample.

cprng-AES:

Entropy = 7.999837 bits per byte.
Optimum compression would reduce the size of this 1048576 byte file by 0 percent.
Chi square distribution for 1048576 samples is 237.02.
Arithmetic mean value of data bytes is 127.3422 (127.5 = random).
Monte Carlo value for Pi is 3.143589568 (error 0.06 percent).

Compared to urandom with the same sampling:

Entropy = 7.999831 bits per byte.
Optimum compression would reduce the size of this 1048576 byte file by 0 percent.
Chi square distribution for 1048576 samples is 246.63.
Arithmetic mean value of data bytes is 127.6347 (127.5 = random).
Monte Carlo value for Pi is 3.132465868 (error 0.29 percent).