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 AM  Vol.2 No.4 , April 2011
Improving Middle Square Method RNG Using Chaotic Map
Abstract: One of the classic approaches in PRNGs is the middle square method in which with a simple mathe-matical model generating pseudorandom numbers in high speed and minimum correlation between output numbers. Despite these unique characteristics, the method contains weaknesses that a broader application of this algo- rithm will face. In this paper is studied middle square method and then a logistic chaotic map is introduced with its specific features and its improved weaknesses via using these characteristics. Finally the NIST tests suite s are presented, in order to detect the specific characteristics expected from truly random sequences.
Cite this paper: nullH. Rahimov, M. Babaie and H. Hassanabadi, "Improving Middle Square Method RNG Using Chaotic Map," Applied Mathematics, Vol. 2 No. 4, 2011, pp. 482-486. doi: 10.4236/am.2011.24062.
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