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@inproceedings{1423716,
author = {Mrázek, Vojtěch and Sýs, Marek and Vasicek, Zdenek and Sekanina, Lukáš and Matyáš, Václav},
address = {USA},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference 2018},
doi = {http://dx.doi.org/10.1145/3205455.3205518},
keywords = {Boolean function; evolutionary computing; randomness; statistical test},
howpublished = {tištěná verze "print"},
language = {eng},
location = {USA},
isbn = {978-1-4503-5618-3},
pages = {1302-1309},
publisher = {Association for Computing Machinery},
title = {Evolving boolean functions for fast and efficient randomness testing},
url = {https://dl.acm.org/citation.cfm?id=3205518},
year = {2018}
}
TY - JOUR
ID - 1423716
AU - Mrázek, Vojtěch - Sýs, Marek - Vasicek, Zdenek - Sekanina, Lukáš - Matyáš, Václav
PY - 2018
TI - Evolving boolean functions for fast and efficient randomness testing
PB - Association for Computing Machinery
CY - USA
SN - 9781450356183
KW - Boolean function
KW - evolutionary computing
KW - randomness
KW - statistical test
UR - https://dl.acm.org/citation.cfm?id=3205518
N2 - The security of cryptographic algorithms (such as block ciphers and hash functions) is often evaluated in terms of their output randomness. This paper presents a novel method for the statistical randomness testing of cryptographic primitives, which is based on the evolutionary construction of the so-called randomness distinguisher. Each distinguisher is represented as a Boolean polynomial in the algebraic normal form. The previous approach, in which the distinguishers were developed in two phases by means of the brute-force method, is replaced with a more scalable evolutionary algorithm (EA). On seven complex datasets, this EA provided distinguishers of the same quality as the previous approach, but the execution time was in practice reduced 40 times. This approach allowed us to perform a more efficient search in the space of Boolean distinguishers and to obtain more complex high-quality distinguishers than the previous approach.
ER -
MRÁZEK, Vojtěch, Marek SÝS, Zdenek VASICEK, Lukáš SEKANINA a Václav MATYÁŠ. Evolving boolean functions for fast and efficient randomness testing. In \textit{Proceedings of the Genetic and Evolutionary Computation Conference 2018}. USA: Association for Computing Machinery, 2018, s.~1302-1309. ISBN~978-1-4503-5618-3. Dostupné z: https://dx.doi.org/10.1145/3205455.3205518.
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