Title: Correlation immune pseudo-random number generator based on fuzzy logic
Abstract: In this paper we investigated the security of the proposed pseudorandom numbers generator based on fuzzy logic techniques (FRNG) against correlation attacks. The correlation attack is a divide-and-conquer attack. The goal of this attack is to find the initial condition of the targeted LFSR which is used in a random sequence generator. The FRNG's general structure involves several LFSR registers, buffers, two linguistic variables and IF-THEN fuzzy rules. We analyzed the FRNG's structure and adjust some parameters to increase its immunity against correlation attacks. We found efficient membership functions for linguistic variables. Also, we found good characteristic polynomials for LFSRs. Then we evaluated the generator using test packets DIEHARD and NIST. Finally, we compared FRNG with 16 PRNGs included in the DIEHARD bundle.
Publication Year: 2017
Publication Date: 2017-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 3
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