A Big Data Privacy Protection Solution Based on Compressive Sensing Theory
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
10.12783/dtcse/cimns2017/17395
Refbacks
- There are currently no refbacks.