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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)
- 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
-
CC BY