Pseudorandom numbers generators quality assessment using graphic tests

In this paper we address testing methodologies of pseudorandom numbers generators (PRNGs) and propose improved approaches which increase testing efficiency. At present time, PRNG quality is usually assessed using two main groups of tests: evaluation tests and graphic tests. When executing an evaluat...

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Vydáno v:Proceedings of the 2014 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference : 3-5 February 2014 s. 8 - 13
Hlavní autoři: Chugunkov, Ilya, Muleys, Rami
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.02.2014
Témata:
Ciphers
Correlation
Generators
graphic tests
Graphics
Histograms
PRNG
Random sequences
statistical evaluation
Testing
ISBN:9781479925933, 1479925934
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Shrnutí:In this paper we address testing methodologies of pseudorandom numbers generators (PRNGs) and propose improved approaches which increase testing efficiency. At present time, PRNG quality is usually assessed using two main groups of tests: evaluation tests and graphic tests. When executing an evaluation test on a pseudorandom sequence, the assessment is based on computing specific statistics and its comparison to predefined critical values. Graphical tests are less common, however, in some cases, executing graphic tests allows detecting flaws in the PRNG's design which could be overlooked by common evaluation tests. In this paper, authors review some graphic tests implementations for PRNG statistical properties evaluation.
ISBN:9781479925933
1479925934
DOI:10.1109/ElConRusNW.2014.6839187