PRIVACY-PRESERVING DATA COLLECTION AND RECOVERY OF COMPRESSIVE SENSING

被引：0

作者：

Hung, Tsung-Hsuan ^{[1
]}

Hsieh, Sung-Hsien ^{[1
]}

Lu, Chun-Shien ^{[1
]}

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan

来源：

2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年

关键词：

Basis pursuit; compressive sensing; convex optimization; encryption; security; SIGNAL RECOVERY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Energy-efficient data collection and privacy-preserving data recovery have received much attention recently. We propose the first encryption framework for the computation-intensive basis pursuit problem to be securely solved in the cloud with the data being efficiently collected using compressive sensing. We provide security and efficiency analyses to show the effectiveness of our method. Simulations and comparison with state-of-the-art are also conducted.

引用

页码：473 / 477

页数：5

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