文章基本信息

标题：Applying Cuckoo Search for analysis of LFSR based cryptosystem
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作者：Maiya Din ; Maiya Din ; Saibal K. Pal 等
期刊名称：Perspectives in Science
印刷版ISSN：2213-0209
电子版ISSN：2213-0209
出版年度：2016
卷号：8
页码：435-439
DOI：10.1016/j.pisc.2016.04.098
语种：English
出版社：Elsevier
摘要：Summary Cryptographic techniques are employed for minimizing security hazards to sensitive information. To make the systems more robust, cyphers or crypts being used need to be analysed for which cryptanalysts require ways to automate the process, so that cryptographic systems can be tested more efficiently. Evolutionary algorithms provide one such resort as these are capable of searching global optimal solution very quickly. Cuckoo Search (CS) Algorithm has been used effectively in cryptanalysis of conventional systems like Vigenere and Transposition cyphers. Linear Feedback Shift Register (LFSR) is a crypto primitive used extensively in design of cryptosystems. In this paper, we analyse LFSR based cryptosystem using Cuckoo Search to find correct initial states of used LFSR. Primitive polynomials of degree 11, 13, 17 and 19 are considered to analyse text crypts of length 200, 300 and 400 characters. Optimal solutions were obtained for the following CS parameters: Levy distribution parameter (β)=1.5 and Alien eggs discovering probability (p a )=0.25.
关键词：LFSR; Swarm intelligence; Cuckoo Search; Cryptanalysis;