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NUMBER GENERATOR IMPROVEMENT BASED ON ARTIFICIAL INTELLIGENT AND NONPARAMETRIC STATISTIC METHODS

Journal: International Education and Research Journal (Vol.1, No. 5)

Publication Date:

Authors : ;

Page : 28-33

Keywords : Cryptography; Key generation; Artificial Intelligent; Metaheuristic search; Blum-Blum-Shup PSNR; Nonparametric statistic methods;

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Abstract

Random numbers are a fundamental tool in many cryptographic applications like key generation, encryption or masking protocols. This paper proposed new improvement on Blum-Blum-Shub (BBS) based on Iterated Local Search (ILS) metaheuristic technique and nonparametric statistic test (Run, Sign and Wilcoxon Signed Rank Tests) to generate strong BBS- integer numbers for encryption purpose. Evaluations function ofILSwill be based on passing BBS-cryptokey through that nonparametric statistic methods to check the weather of their randomness and distribution(i.e. frequency and magnitude).The experimental results shown that improvement ratio of Enhanced BBS-cryptokey numbers are ranging from [40%-90%] ,reality this due to two reasons; first is the existence of high perturbation on solution that is using in ILS ,so it's lead to reach to the optimization ;second is selected of a value that determine the ranging of critical values

Last modified: 2017-04-22 14:48:35