Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/10337
Title: A New Keystream Generator Based on Swarm Intelligence
Authors: Ismail K. Ali
Abdulelah I. Jarullah
Keywords: Particle Swarm Optimization, Stream Cipher, Keystream Generator, Randomness, and Linear Complexity
Issue Date: 2012
Publisher: university of Diyala
Abstract: Advances in the design of keystream generator using swarm intelligence techniques are reported.In this paper particle swarm optimization algorithm for generating random keystream with large complexity is presented. Particle swarm technique is adapted to locate the requirements(larg period ,larg linear complexity, good randomness and high order of correlation immunity). The definitions for some cryptographic properties are generalized, providing a measure suitable for use fitness function in a particle swarm algorithm, seeking randomness that satisfy both correlation immunity and the large linear complexity. Results are presented demonstrating the effectiveness of the proposed method.
URI: http://148.72.244.84:8080/xmlui/handle/xmlui/10337
ISSN: 2222-8373
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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