Liu, Junxiu, Liang, Zhewei, Luo, Yuling, Cao, Lvchen, Zhang, Shunsheng, Wang, Yanhu and Yang, Su ORCID: https://orcid.org/0000-0002-6618-7483 (2020) A hardware pseudo-random number generator using stochastic computing and logistic map. Micromachines, 12 (1). p. 31.
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Abstract
Recent research showed that the chaotic maps are considered as alternative methods for generating pseudo-random numbers, and various approaches have been proposed for the corresponding hardware implementations. In this work, an efficient hardware pseudo-random number generator (PRNG) is proposed, where the one-dimensional logistic map is optimised by using the perturbation operation which effectively reduces the degradation of digital chaos. By employing stochastic computing, a hardware PRNG is designed with relatively low hardware utilisation. The proposed hardware PRNG is implemented by using a Field Programmable Gate Array device. Results show that the chaotic map achieves good security performance by using the perturbation operations and the generated pseudo-random numbers pass the TestU01 test and the NIST SP 800-22 test. Most importantly, it also saves 89% of hardware resources compared to conventional approaches.
Item Type: | Article |
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Identifier: | 10.3390/mi12010031 |
Additional Information: | Liu, J.; Liang, Z.; Luo, Y.; Cao, L.; Zhang, S.; Wang, Y.; Yang, S. A Hardware Pseudo-Random Number Generator Using Stochastic Computing and Logistic Map. Micromachines 2021, 12, 31. https://doi.org/10.3390/mi12010031 |
Keywords: | stochastic computing; chaos; logistic map; FPGA |
Subjects: | Computing |
Related URLs: | |
Depositing User: | Su Yang |
Date Deposited: | 02 Jun 2021 14:25 |
Last Modified: | 06 Feb 2024 16:05 |
URI: | https://repository.uwl.ac.uk/id/eprint/7921 |
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