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Support-Set-Assured parallel outsourcing of sparse reconstruction service for compressive sensing in multi-clouds
Yushu Zhang1; Jiantao Zhou2; Leo Yu Zhang3; Fei Chen4; Xinyu Lei5
2016-01-07
Conference NameInternational Symposium on Security and Privacy in Social Networks and Big Data (SocialSec)
Source PublicationProceedings - 2015 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2015
Pages1-6
Conference Date16-18 Nov. 2015
Conference PlaceHangzhou, China
Abstract

By leveraging the concept of signal sparsity, the new signal acquisition paradigm Compressive Sensing (CS) has successfully shifted the system complexity of the encoder to the decoder. If consideration must be given to solving the heavy decoding work while guaranteeing the privacy of the signal, one of the best choices is to outsource the sparse reconstruction service to a cloud with abundant computing resources. We propose to outsource sparse reconstruction service to multi-clouds in parallel with an assumption that multi-clouds cannot collude with each other in private. The owner protects the 2D signals' support-set, a set consisting of the indices of the nonzero entries in that signal, using a simple exchange primitives with low complexity and less memory rather than a full random permutation matrix. When carrying out parallel compressive sensing, this exchange primitive is equivalent to random permutation matrix, thus relaxing the RIP for 2D sparse signals with high probability. Then, the compressive measurements and support-set are distributed over multi-clouds for storage and reconstruction service. Each cloud only has a small amount of information of both the measurements and asymmetric support-set, therefore, the privacy of the original signal can be guaranteed.

KeywordCompressive Sensing Parallel Outsourcing Sparse Reconstruction Service Support-set
DOI10.1109/SocialSec2015.10
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000380553000001
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Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
3.Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
4.Department of Computer Science and Engineering, Shenzhen University, Shenzhen 518060, China
5.College of Computer Science, Chongqing University, Chongqing 400044, China
Recommended Citation
GB/T 7714
Yushu Zhang,Jiantao Zhou,Leo Yu Zhang,et al. Support-Set-Assured parallel outsourcing of sparse reconstruction service for compressive sensing in multi-clouds[C],2016:1-6.
APA Yushu Zhang,Jiantao Zhou,Leo Yu Zhang,Fei Chen,&Xinyu Lei.(2016).Support-Set-Assured parallel outsourcing of sparse reconstruction service for compressive sensing in multi-clouds.Proceedings - 2015 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2015,1-6.
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