On asymptotically optimal   tests for random number generators

Boris Ryabko

Paper 2019/1426

On asymptotically optimal tests for random number generators

Boris Ryabko

Abstract

The problem of constructing effective statistical tests for random number generators (RNG) is considered. Currently, statistical tests for RNGs are a mandatory part of cryptographic information protection systems, but their effectiveness is mainly estimated based on experiments with various RNGs. We find an asymptotic estimate for the p-value of an optimal test in the case where the alternative hypothesis is a known stationary ergodic source, and then describe a family of tests each of which has the same asymptotic estimate of the p-value for any (unknown) stationary ergodic source.

Metadata

Available format(s): PDF
Category: Foundations
Publication info: Preprint. MINOR revision.
Keywords: randomness testing random number generators Information Theory Shannon entropy.
Contact author(s): boris @ ryabko net
History: 2019-12-10: received
Short URL: https://ia.cr/2019/1426
License: CC BY

BibTeX

@misc{cryptoeprint:2019/1426,
      author = {Boris Ryabko},
      title = {On asymptotically optimal   tests for random number generators},
      howpublished = {Cryptology {ePrint} Archive, Paper 2019/1426},
      year = {2019},
      url = {https://eprint.iacr.org/2019/1426}
}