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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Bibliographic Details
Published inProceedings of the 2014 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference : 3-5 February 2014 pp. 8 - 13
Main Authors Chugunkov, Ilya, Muleys, Rami
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2014
Subjects
Ciphers
Correlation
Generators
graphic tests
Graphics
Histograms
PRNG
Random sequences
statistical evaluation
Testing
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ISBN9781479925933
1479925934
DOI10.1109/ElConRusNW.2014.6839187

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Summary: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