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文章基本信息

  • 标题:On the Security of Compressed Sensing-Based Signal Cryptosystem
  • 作者:Zuyuan Yang ; Wei Yan ; Yong Xiang
  • 期刊名称:IEEE Transactions on Emerging Topics in Computing
  • 印刷版ISSN:2168-6750
  • 出版年度:2015
  • 卷号:3
  • 期号:3
  • 页码:363-371
  • DOI:10.1109/TETC.2014.2372151
  • 语种:English
  • 出版社:IEEE Publishing
  • 摘要:

    With the development of the cyber-physical systems (CPS), the security analysis of the data therein becomes more and more important. Recently, due to the advantage of joint encryption and compression for data transmission in CPS, the emerging compressed sensing (CS)-based cryptosystem has attracted much attention, where security is of extreme importance. The existing methods only analyze the security of the plaintext under the assumption that the key is absolutely safe. However, for sparse plaintext, the prior sparsity knowledge of the plaintext could be exploited to partly retrieve the key, and then the plaintext, from the ciphertext. So, the existing methods do not provide a satisfactory security analysis. In this paper, it is conducted in the information theory frame, where the plaintext sparsity feature and the mutual information of the ciphertext, key, and plaintext are involved. In addition, the perfect secrecy criteria (Shannon-sense and Wyner-sense) are extended to measure the security. While the security level is given, the illegal access risk is also discussed. It is shown that the CS-based cryptosystem achieves the extended Wyner-sense perfect secrecy, but when the key is used repeatedly, both the plaintext and the key could be conditionally accessed.

  • 关键词:compressed sensing; cryptography; CPS; CS-based cryptosystem; Shannon-sense secrecy criteria; Wyner-sense secrecy criteria; ciphertext; compressed sensing-based signal cryptosystem; cryptosystem security; cyber-physical system; illegal access risk; information theory frame; plaintext security; plaintext sparsity feature; security analysis; security measure; Educational institutions; Encryption; Entropy; Joints; Vectors; CPS; Compressed sensing; security
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