On the security of compressed sensing-based signal cryptosystem

Yang, Zuyuan, Yan, Wei and Xiang, Yong 2015, On the security of compressed sensing-based signal cryptosystem, IEEE transactions on emerging topics in computing, vol. 3, no. 3, pp. 363-371, doi: 10.1109/TETC.2014.2372151.

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Title On the security of compressed sensing-based signal cryptosystem
Author(s) Yang, Zuyuan
Yan, Wei
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Journal name IEEE transactions on emerging topics in computing
Volume number 3
Issue number 3
Start page 363
End page 371
Total pages 9
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-09
ISSN 2168-6750
Summary 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.
Language eng
DOI 10.1109/TETC.2014.2372151
Field of Research 080106 Image Processing
090609 Signal Processing
Socio Economic Objective 861701 Network Infrastructure Equipment
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID ARC DP110102076
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30078350

Document type: Journal Article
Collection: School of Information Technology
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