A novel memristive true random number generator design. Issue 6 (24th October 2019)

• Record Type: Journal Article
• Authors: Cam Taskiran, Zehra Gulru; Taşkıran, Murat; Kıllıoğlu, Mehmet; Kahraman, Nihan; Sedef, Herman
• Is Part Of: Compel. Volume 38:Issue 6(2019)
• Page Start: 1931
• Page End: 1947
• Publication Date: 2019-10-24
• Subjects: Memristor -- Chaotic circuit -- Double-scroll attractor -- Random number generator; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-11-2018-0463
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose: In this work, a true random number generator is designed by sampling the double-scroll analog continuous-time chaotic circuit signals. Methodology: A Chua circuit based on memristance simulator is designed to obtain a non-linear term for a chaotic dynamic system. It is implemented on the board by using commercially available integrated circuits and passive elements. A low precision ADC which is commonly found in the market is used to sample the chaotic signals. The mathematical analysis of the chaotic circuit is verified by experimental results. Originality: It is aimed to be one of the pioneering studies (including low precision ADC) in the literature on the implementation of memristive chaotic random number generators. Findings: Two new methods are proposed for post-processing and creating random bit array using XOR operator and J-K flip flop. The bit stream obtained by a full-hardware implementation successfully passed the NIST-800-22 test. In this respect, the availability of the memristance simulator circuit, memristive chaotic double-scroll attractor, proposed random bit algorithm and the randomness of the memristive analog continuous-time chaotic true number generator were also verified.