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Various pseudo random number generators based on memristive chaos map model

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Abstract

The telecommunications industry has made huge strides, and multimedia information transmission is exploding. Text, sound, and video can all be used to create multimedia data. As a result, having systems in place to protect private or sensitive data and keep its security is critical. In this article, completely random numbers were generated in two different ways, and the extent of their randomness was tested in many ways to ensure their suitability for use in different cryptographic applications. The proposed models in this article depend on a chaos based Pseudo-random number generators (PRNGs). PRNGs, which create bit sequences, have evolved into a critical component in many industries, including encrypted communication, Wireless communication using a spread spectrum, computational simulations, RF identification networks, and coding for error correction. The PRNGs is designed by combining the memristor that is discrete with the logistic map and the memristor that is discrete with sine map both separately to construct the novel algorithms called a two-dimensional memristive logistic map (2D-MLM) and two dimensional memristive sine map (2D-MSM) and each cycle yields a sequence of 32 random bits. The binary64 dual precision format is employed for arithmetic using floating-point in accordance with the IEEE 754-2008 standard. To assess the generator's performance, several statistical analyses are utilized. The results of the tests that evaluated the presented algorithms showed that the space key was improved and increased by 3.2% compared to other generators, and the performance speed was increased by 12.22%. The findings reveal that the sequences that are created have an elevated degree of unpredictability and a high level of security, which renders them excellent for cryptographic use in terms of the speed, the large key space, and high data rate.

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Authors and Affiliations

  1. School of Internet of Things, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China

    Karim H. Moussa

  2. Electronics and Communication Engineering Department, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, Egypt

    Ahmed M. Mohy El Den, Islam Abd Ellattif Mohamed & Roshdy A. Abdelrassoul

Authors
  1. Karim H. Moussa
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  2. Ahmed M. Mohy El Den
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  3. Islam Abd Ellattif Mohamed
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  4. Roshdy A. Abdelrassoul
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Correspondence to Karim H. Moussa or Ahmed M. Mohy El Den.

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Moussa, K.H., Mohy El Den, A.M., Mohamed, I.A.E. et al. Various pseudo random number generators based on memristive chaos map model. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-17863-9

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  • DOI: https://doi.org/10.1007/s11042-023-17863-9

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