Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2020, Vol. 43 ›› Issue (3): 125-130.doi: 10.13190/j.jbupt.2019-129

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Research on Compressed Sensing Security Theory

TANG Yong-li1, ZHAO Ming-jie1, LI Li-xiang2   

  1. 1. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China;
    2. National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2019-07-02 Online:2020-06-28 Published:2020-06-24
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Abstract: The rapid development of Internet induces huge requirement on transmission, which calls for much more efficient techniques to compress information. Compressive sensing method can sample sparse signals with much less samples than Nyquist's sampling law with payload of recovery quality and computation complexity. Compressive sensing can not only compress data, but also encrypt them, and thus can be applied to encrypt the information and network. The article reviews the compressive sensing-based encryption methods, which combines other technologies (such as chaotic system, scrambling and diffusion). After analyzing the performance comparison of existing methods, the compressive sensing-based schemes is verified to achieve a great security capability to resist brute-force attack, statistical attack, known plaintext attack and other attacks.

Key words: compressive sensing, chaotic system, scrambling and diffusion, encryption schem

CLC Number: