https://github.com/sukima/grc-uheprng

GRC's Ultra-High Entropy Pseudo-Random Number Generator
https://github.com/sukima/grc-uheprng

Last synced: 17 days ago
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GRC's Ultra-High Entropy Pseudo-Random Number Generator

• Host: GitHub
• URL: https://github.com/sukima/grc-uheprng
• Owner: sukima
• Created: 2016-04-06T00:53:07.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-04-06T01:22:21.000Z (over 8 years ago)
• Last Synced: 2024-10-21T21:02:55.298Z (30 days ago)
• Language: JavaScript
• Homepage: https://www.grc.com/otg/uheprng.htm
• Size: 5.86 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.txt

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README

        
            UHEPRNG - Ultra High Entropy Pseudo-Random Number Generator

                           Gibson Research Corporation

   ============================================================================

   LICENSE AND COPYRIGHT:  THIS CODE IS HEREBY RELEASED INTO THE PUBLIC DOMAIN

   Gibson Research Corporation releases and disclaims ALL RIGHTS AND TITLE IN

   THIS CODE OR ANY DERIVATIVES. Anyone may be freely use it for any purpose.

   ============================================================================

   This is GRC's cryptographically strong PRNG (pseudo-random number generator)

   for JavaScript. It is driven by 1536 bits of entropy, stored in an array of

   48, 32-bit JavaScript variables.  Since many applications of this generator,

   including ours with the "Off The Grid" Latin Square generator, may require

   the deteriministic re-generation of a sequence of PRNs, this PRNG's initial

   entropic state can be read and written as a static whole, and incrementally

   evolved by pouring new source entropy into the generator's internal state.

   ----------------------------------------------------------------------------

   ENDLESS THANKS are due Johannes Baagoe for his careful development of highly

   robust JavaScript implementations of JS PRNGs.  This work was based upon his

   JavaScript "Alea" PRNG which is based upon the extremely robust Multiply-

   With-Carry (MWC) PRNG invented by George Marsaglia. MWC Algorithm References:

   http://www.GRC.com/otg/Marsaglia_PRNGs.pdf

   http://www.GRC.com/otg/Marsaglia_MWC_Generators.pdf

   ----------------------------------------------------------------------------

   The quality of this algorithm's pseudo-random numbers have been verified by

   multiple independent researchers. It handily passes the fermilab.ch tests as

   well as the "diehard" and "dieharder" test suites.  For individuals wishing

   to further verify the quality of this algorithm's pseudo-random numbers, a

   256-megabyte file of this algorithm's output may be downloaded from GRC.com,

   and a Microsoft Windows scripting host (WSH) version of this algorithm may be

   downloaded and run from the Windows command prompt to generate unique files

   of any size:

   The Fermilab "ENT" tests: http://fourmilab.ch/random/

   The 256-megabyte sample PRN file at GRC: https://www.GRC.com/otg/uheprng.bin

   The Windows scripting host version: https://www.GRC.com/otg/wsh-uheprng.js

   ----------------------------------------------------------------------------

   Qualifying MWC multipliers are: 187884, 686118, 898134, 1104375, 1250205,

   1460910 and 1768863. (We use the largest one that's < 2^21)

   https://www.grc.com/otg/uheprng.htm