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A true random number generator based on mouse movement and chaotic cryptography

Author

Listed:
  • Hu, Yue
  • Liao, Xiaofeng
  • Wong, Kwok-wo
  • Zhou, Qing

Abstract

True random number generators are in general more secure than pseudo random number generators. In this paper, we propose a novel true random number generator which generates a 256-bit random number by computer mouse movement. It is cheap, convenient and universal for personal computers. To eliminate the effect of similar movement patterns generated by the same user, three chaos-based approaches, namely, discretized 2D chaotic map permutation, spatiotemporal chaos and “MASK” algorithm, are adopted to post-process the captured mouse movements. Random bits generated by three users are tested using NIST statistical tests. Both the spatiotemporal chaos approach and the “MASK” algorithm pass the tests successfully. However, the latter has a better performance in terms of efficiency and effectiveness and so is more practical for common personal computer applications.

Suggested Citation

  • Hu, Yue & Liao, Xiaofeng & Wong, Kwok-wo & Zhou, Qing, 2009. "A true random number generator based on mouse movement and chaotic cryptography," Chaos, Solitons & Fractals, Elsevier, vol. 40(5), pages 2286-2293.
    • Handle: RePEc:eee:chsofr:v:40:y:2009:i:5:p:2286-2293
    DOI: 10.1016/j.chaos.2007.10.022
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    References listed on IDEAS

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    1. Chen, Guo & Chen, Yong & Liao, Xiaofeng, 2007. "An extended method for obtaining S-boxes based on three-dimensional chaotic Baker maps," Chaos, Solitons & Fractals, Elsevier, vol. 31(3), pages 571-579.
    2. Zhou, Qing & Wong, Kwok-wo & Liao, Xiaofeng & Xiang, Tao & Hu, Yue, 2008. "Parallel image encryption algorithm based on discretized chaotic map," Chaos, Solitons & Fractals, Elsevier, vol. 38(4), pages 1081-1092.
    3. Lian, Shiguo & Sun, Jinsheng & Wang, Zhiquan, 2005. "A block cipher based on a suitable use of the chaotic standard map," Chaos, Solitons & Fractals, Elsevier, vol. 26(1), pages 117-129.
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    Cited by:

    1. Saha, Rahul & G, Geetha, 2017. "Symmetric random function generator (SRFG): A novel cryptographic primitive for designing fast and robust algorithms," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 371-377.
    2. Zhao, Liang & Liao, Xiaofeng & Xiao, Di & Xiang, Tao & Zhou, Qing & Duan, Shukai, 2009. "True random number generation from mobile telephone photo based on chaotic cryptography," Chaos, Solitons & Fractals, Elsevier, vol. 42(3), pages 1692-1699.
    3. Karakaya, Barış & Gülten, Arif & Frasca, Mattia, 2019. "A true random bit generator based on a memristive chaotic circuit: Analysis, design and FPGA implementation," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 143-149.
    4. Etem, Taha & Kaya, Turgay, 2020. "A novel True Random Bit Generator design for image encryption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).

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