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Paper 2012/471

A Quasigroup Based Random Number Generator for Resource Constrained Environments

Matthew Battey and Abhishek Parakh

Abstract

This paper proposes a pseudo random number generator (PRNG) based on quasigroups. The proposed PRNG has low memory requirements, is autonomous and the quality of the output stream of random numbers is better than other available standard PRNG implementations (commercial and open source) in majority of the tests. Comparisons are done using the benchmark NIST Statistical Test Suite and compression tools. Results are presented for quality of raw stream of random numbers and for encryption results using these random numbers.

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Published elsewhere. Unknown where it was published
Keywords
random number generatorgeneration of encryption keys
Contact author(s)
aparakh @ unomaha edu
History
2012-08-18: received
Short URL
https://ia.cr/2012/471
License
Creative Commons Attribution
CC BY
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