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@inproceedings{1394875,
author = {Sýs, Marek and Klinec, Dušan and Švenda, Petr},
address = {Madrid, Spain},
booktitle = {Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - Volume 4: SECRYPT, Madrid, Spain, July 24-26, 2017},
doi = {http://dx.doi.org/10.5220/0006425100920103},
keywords = {booltest; randomness; randomness testing; polynomials; NIST STS; Dieharder; boolean functions; statistical randomness test},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Madrid, Spain},
isbn = {978-989-758-259-2},
pages = {92-103},
publisher = {SCITEPRESS},
title = {The Efficient Randomness Testing using Boolean Functions},
url = {https://crocs.fi.muni.cz/public/papers/secrypt2017},
year = {2017}
}
TY - JOUR
ID - 1394875
AU - Sýs, Marek - Klinec, Dušan - Švenda, Petr
PY - 2017
TI - The Efficient Randomness Testing using Boolean Functions
PB - SCITEPRESS
CY - Madrid, Spain
SN - 9789897582592
KW - booltest
KW - randomness
KW - randomness testing
KW - polynomials
KW - NIST STS
KW - Dieharder
KW - boolean functions
KW - statistical randomness test
UR - https://crocs.fi.muni.cz/public/papers/secrypt2017
L2 - https://crocs.fi.muni.cz/public/papers/secrypt2017
N2 - The wide range of security applications requires data either truly random or indistinguishable from the random. The statistical tests included in batteries like NIST STS or Dieharder are frequently used to assess this randomness property. We designed principally simple, yet powerful statistical randomness test working on the bit level and based on a search for boolean function(s) exhibiting bias not expected for truly random data when applied to the tested stream. The deviances are detected in seconds rather than tens of minutes required by the common batteries. Importantly, the boolean function exhibiting the bias directly describes the pattern responsible for this bias - allowing for construction of bit predictor or fixing the cause of bias in tested function design. The present bias is frequently detected in at least order of magnitude less data than required for NIST STS or Dieharder showing that the tests included in these batteries are either too simple to spot the common biases (like Monobit test) or overly complex (like Fourier Transform test) which requires an extensive amount of data. The proposed approach called BoolTest fills this gap. The performance was verified on more than 20 real world cryptographic functions – block and stream ciphers, hash functions and pseudorandom generators. Among others, the previously unknown bias in output of C rand() and Java Random generators which can be utilized as practical distinguisher was found.
ER -
SÝS, Marek, Dušan KLINEC a Petr ŠVENDA. The Efficient Randomness Testing using Boolean Functions. In \textit{Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - Volume 4: SECRYPT, Madrid, Spain, July 24-26, 2017}. Madrid, Spain: SCITEPRESS, 2017, s.~92-103. ISBN~978-989-758-259-2. Dostupné z: https://dx.doi.org/10.5220/0006425100920103.
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