A Big Data Privacy Protection Solution Based on Compressive Sensing Theory

DENG-LONG LV, SHI-BING ZHU

Abstract


This paper analyzes the progress of privacy protection in big data environment, and introduces the theory of compressive sensing, and then, proposes a new big data privacy protection method based on compressed sensing and discusses the realization of the method. According to the analysis, this new method has a certain reference value in the realization of big data privacy preserving technology.

Keywords


Compressive sensing, Big data, Privacy protection, Solution.


DOI
10.12783/dtcse/cimns2017/17395

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