一种基于El Gamal加密算法的压缩数据收集方法

doi:10.11959/j.issn.1000-0801.2019284

Abstract

Abstract:

As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied.Conventional compressive sensing technology based data collection method does not consider the security issue.Furthermore,every nod in the network must participate in the process of collecting measurements.The El Gamal cryptography and sparse matrices based compressive sensing technology were combined,and the El Gamal based sparse compressive data gathering (ESCDG) method was proposed.Theoretical analysis and numerical experiments show that ESCDG not only decreases the network resource consumption but also be able to defense the internal and external attacks.

Key words: IoT, data gathering, compressive sensing, sparse random matrix, public cryptography

CLC Number:

TP393

Xiaohan YU,Keming DONG,Xia LI,Chao CHEN. A compressive data gathering method based on El Gamal cryptography[J]. Telecommunications Science, 2019, 35(12): 67-78.

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References 29

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