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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Genetic Algorithms Evolving Quasigroups with Good Pseudorandom Properties
verfasst von : Václav Snášel, Jiří Dvorský, Eliška Ochodková, Pavel Krömer, Jan Platoš, Ajith Abraham
Erschienen in: Computational Science and Its Applications – ICCSA 2010
Verlag: Springer Berlin Heidelberg
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Quasigroups are a well-known combinatorial design equivalent to more familiar Latin squares. Because all possible elements of a quasigroup occur with equal probability, it makes it an interesting tool for the application in computer security and for production of pseudorandom sequences. Prior implementations of quasigroups were based on look-up table of the quasigroup, on system of distinct representatives etc. Such representations are infeasible for large quasigroups. In contrast, presented analytic quasigroup can be implemented easily. It allows the generation of pseudorandom sequences without storing large amount of data (look-up table). The concept of isotopy enables consideration of many quasigroups and genetic algorithms allow efficient search for good ones.