%0 Journal Article
%A LI Li-xiang
%A TANG Yong-li
%A ZHAO Ming-jie
%T Research on Compressed Sensing Security Theory
%D 2020
%R 10.13190/j.jbupt.2019-129
%J Journal of Beijing University of Posts and Telecommunications
%P 125-130
%V 43
%N 3
%X 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2019-129