Distributed compressed sensing for multi-sourced fusion and secure signal processing in private cloud

作者：Zhao, Huimin^*; Wei, Wenguo; Cai, Jun; Lei, Fangyuan; Luo, Jianzhen

来源：Multidimensional Systems and Signal Processing, 2016, 27(4): 891-908.

DOI：10.1007/s11045-015-0371-2

• Multi-sourced fusion
• Secure signal processing
• Distributed compressed sensing
• Cloud computing
• Measurement matrix

In this paper, a novel scheme is proposed for multi-sourced signal fusion and secure processing. Within a distributed compressed sensing (DCS) framework, traditional sampling, compression and encryption for signal acquisition are unified under the secure multiparty computation protocol. In the proposed scheme, generation of the pseudo-random sensing matrix offers a natural method for data encryption in DCS, allowing for joint recovery of multiparty data at legal users' side. Experimental analysis and results indicate that the secure signal processing and recovery in DCS domain is feasible, and requires fewer measurements than the achievable approach of separate CS and Nyquist processing. The proposed scheme can be also extended to other cloud-based collaborative secure signal processing and data-mining applications.

• 出版日期2016-10
• 单位广东技术师范大学