Mетоды решения задач криптоанализа блочных криптосистем на основе биоинспириованных технологий искусственного интеллекта

Abstract

Article is devoted to the solution of a task of cryptanalysis on the basis of new models and methods of artificial intelligence – the bioinspired strategy of directed-random search (genetic methods, methods of ant and bee colonies). The review of the author’s publications devoted to consideration of tasks of cryptanalysis of block cryptographic methods is provided. Application of genetic methods for cryptanalysis of the standard of enciphering of DES, the standard of enciphering of Russia and AES is noted, application of algorithms of ant and bee colonies for cryptanalysis of block systems of enciphering is also considered. The estimates of time and estimates of number of processors at parallel realization are given, application of criterion function of special type (Jacobsen’s function) for use on the texts having sufficient volume is noted.