Paper 2023/890

Efficient Evaluation of Frequency Test for Overlapping Vectors Statistic

Krzysztof MAŃK, Military University of Technology
Abstract

Randomness testing is one of the essential and easiest tools for evaluating cryptographic primitives. The faster we can test, the greater volume of data that can be tested. Thus a more detailed analysis is possible. This paper presents a range of observations made for a well-known frequency test for overlapping vectors in binary sequence testing. We have obtained precise chi-square statistic computed in $O \left(dt 2^{dt} \right)$ instead of $O\left( 2^{2dt}\right)$ time, without precomputed tables.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
chi-square testoverlapping vectors testingrandomness testing
Contact author(s)
krzysztof mank @ wat edu pl
History
2023-06-12: approved
2023-06-09: received
See all versions
Short URL
https://ia.cr/2023/890
License
Creative Commons Attribution-NonCommercial
CC BY-NC

BibTeX

@misc{cryptoeprint:2023/890,
      author = {Krzysztof MAŃK},
      title = {Efficient Evaluation of Frequency Test for Overlapping Vectors Statistic},
      howpublished = {Cryptology ePrint Archive, Paper 2023/890},
      year = {2023},
      note = {\url{https://eprint.iacr.org/2023/890}},
      url = {https://eprint.iacr.org/2023/890}
}
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