Low-cost and high-efficiency privacy-protection scheme for distributed compressive video sensing in wireless multimedia sensor networks. (1st July 2020)

• Record Type: Journal Article
• Authors: Xiao, Di; Li, Min; Wang, Mengdi; Liang, Jia; Liu, Ran
• Is Part Of: Journal of network and computer applications. Volume 161(2020)
• Publication Date: 2020-07-01
• Subjects: Distributed compressive video sensing -- Wireless multimedia sensor networks -- Privacy protection -- Adaptive group of pictures selection -- Video encryption; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2020.102654
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: As a new video coding technology, distributed compressive video sensing (DCVS) uses compressed sensing (CS) independent encoding and joint decoding. Since DCVS breaks through the constraint of traditional video coding, it is suitable for resource-constrained wireless multimedia sensor networks (WMSNs). However, two major issues related to DCVS in WMSNs need to be solved urgently: one is to balance the storage burden of encoder and recovery quality of decoder; the other is to provide privacy-protection for video coding and transmission. We intend to break out of the existing limitations and design a new scheme which can simultaneously ensure privacy protection and high-efficiency coding for DCVS in WMSNs. Firstly, the two-pattern adaptive group of pictures selection is adopted to distinguish key frames and non-key frames. Secondly, the deterministic binary block diagonal measurement matrix is optimized to reduce sampling complexity. Thirdly, the scrambling-substitution-diffusion encryption method is proposed to resist various typical or potential attacks. Numerous experiments demonstrate that our scheme can not only perform valid and high-efficiency video coding, but also meet the demands of real-time and secure data transmission in WMSNs. Highlights: We propose a low-cost and high-efficient privacy-protection scheme for distributed compressive video sensing in WMSNs. Group of pictures can be selected adaptively according to the demands of actual scenarios. The optimized measurement matrix reduces coding complexity and obtains better recovery performance stably. Our encryption method can effectively resist various typical or potential attacks. A simple and efficient sparse basis suitable for distributed parallel compressive video sensing is designed.