Prof. Ing. Lukáš Sekanina, Ph.D.

MRÁZEK Vojtěch, SÝS Marek, VAŠÍČEK Zdeněk, SEKANINA Lukáš and MATYÁŠ Václav. Evolving Boolean Functions for Fast and Efficient Randomness Testing. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). Kyoto: Association for Computing Machinery, 2018, pp. 1302-1309. ISBN 978-1-4503-5618-3.
Publication language:english
Original title:Evolving Boolean Functions for Fast and Efficient Randomness Testing
Title (cs):Evoluční návrh Boolovských funkcí pro rychlé a efektivní testování náhodnosti
Pages:1302-1309
Proceedings:Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18)
Conference:Genetic and Evolutionary Computations Conference 2018
Place:Kyoto, JP
Year:2018
ISBN:978-1-4503-5618-3
DOI:10.1145/3205455.3205518
Publisher:Association for Computing Machinery
Keywords
Boolean function, genetic algorithm, statistical randomness testing
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Vojt{\v{e}}ch Mr{\'{a}}zek and Marek S{\'{y}}s and
	Zden{\v{e}}k Va{\v{s}}{\'{i}}{\v{c}}ek and
	Luk{\'{a}}{\v{s}} Sekanina and V{\'{a}}clav
	Maty{\'{a}}{\v{s}}},
   title = {Evolving Boolean Functions for Fast and Efficient
	Randomness Testing},
   pages = {1302--1309},
   booktitle = {Proceedings of the Genetic and Evolutionary Computation
	Conference (GECCO '18)},
   year = 2018,
   location = {Kyoto, JP},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-5618-3},
   doi = {10.1145/3205455.3205518},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11686}
}

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