RESEARCH ON APPLICABILITY OF BIONIC TECHNIQUES OF ARTIFICIAL BEE COLONIES FOR IMPLEMENTATION OF CLASSICAL TRANSPOSITION CIPHER CRYPTANALYSIS

The applicability of the bionic techniques of artificial bee colonies for the implementation of the classical transpos ition cipher cryptanalysis is considered. The problem is a classical optimization problem to the solution of which the known techniques of artificial bee colonies fallen within a re...

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Veröffentlicht in:Advanced engineering research (Rostov-na-Donu, Russia) Russia), 2014-03, Vol.14 (1), p.62-75
Hauptverfasser: Chernyshev, Yury Olegovich, Sergeyev, Alexander Sergeyevich, Dybrov, Engeny Olegovich, Ryazanov, Alexander Nikolaeyvich
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Sprache:eng
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Zusammenfassung:The applicability of the bionic techniques of artificial bee colonies for the implementation of the classical transpos ition cipher cryptanalysis is considered. The problem is a classical optimization problem to the solution of which the known techniques of artificial bee colonies fallen within a relatively new class of bioinspired opti mization methods are applied. It is shown that this is a subproblem of allocation, and it can b e solved with an artificial bee colony algorithm, as the bee behavior principle is a self - organization delivering a collective swarm goal. А t the first stage, a set of promising areas - sources is formed with the aid of scout - bees, at the second stage, the n eighborhood of these areas is explored with the aid of foraging bees. At this, the main goal of the bee colony is to find a source with a maximum amount of nectar. Solution representation methods (positions in search space) are considered , a formula for de termining an object function value (amount of nectar) is given. It is shown that the target search i s the d etermination of an optimal symbol combination with the highest value of the objective function. Princ iple stages of the artificial bee colony algorit hm, as well as an example of its application, are given. Keywords: 
ISSN:1992-5980
2687-1653
DOI:10.12737/3505