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Bi-level protected compressive sampling
Leo Yu Zhang1; Kwok-Wo Wong1; Yushu Zhang2; Jiantao Zhou3
Source PublicationIEEE Transactions on Multimedia

Some pioneering works have investigated embedding cryptographic properties in compressive sampling (CS) in a way similar to one-time pad symmetric cipher. This paper tackles the problem of constructing a CS-based symmetric cipher under the key reuse circumstance, i.e., the cipher is resistant to common attacks even when a fixed measurement matrix is used multiple times. To this end, we suggest a bi-level protected CS (BLP-CS) model which makes use of the advantage of measurement matrix construction without restricted isometry property (RIP). Specifically, two kinds of artificial basis mismatch techniques are investigated to construct key-related sparsifying bases. It is demonstrated that the encoding process of BLP-CS is simply a random linear projection, which is the same as the basic CS model. However, decoding the linear measurements requires knowledge of both the key-dependent sensing matrix and its sparsifying basis. The proposed model is exemplified by sampling images as a joint data acquisition and protection layer for resource-limited wireless sensors. Simulation results and numerical analyses have justified that the new model can be applied in circumstances where the measurement matrix can be reused.

KeywordCompressive Sampling (Cs) Encryption Known/chosen-plaintext Attack Random Projection Restricted Isometry Property (Rip)
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000381437800004
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Cited Times [WOS]:64   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Faculty of Science and Technology
Affiliation1.Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
2.e School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China
3.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
Recommended Citation
GB/T 7714
Leo Yu Zhang,Kwok-Wo Wong,Yushu Zhang,et al. Bi-level protected compressive sampling[J]. IEEE Transactions on Multimedia,2016,18(9):1720-1732.
APA Leo Yu Zhang,Kwok-Wo Wong,Yushu Zhang,&Jiantao Zhou.(2016).Bi-level protected compressive sampling.IEEE Transactions on Multimedia,18(9),1720-1732.
MLA Leo Yu Zhang,et al."Bi-level protected compressive sampling".IEEE Transactions on Multimedia 18.9(2016):1720-1732.
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