Statistical testing of PRNG: Generalized gambler’s ruin problem

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Abstract

We present a new statistical test (GGRTest) which is based on the generalized gambler’s ruin problem (with arbitrary winning/losing probabilities). The test is able to detect non-uniformity of the outputs generated by the pseudo-random bit generators (PRNGs). We also propose a new method, called BitTracker, of processing bits of a PRNG. In most of the statistical test-suites, bits are read in 31/32-bit groups. For many tests (e.g., OPERM) only a few first bits of the group are taken into account. Instead of “wasting” bits (in some statistical tests), the method takes into account every single bit of the PRNG’s output.

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Lorek, P., Słowik, M., & Zagórski, F. (2017). Statistical testing of PRNG: Generalized gambler’s ruin problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10693 LNCS, pp. 425–437). Springer Verlag. https://doi.org/10.1007/978-3-319-72453-9_34

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