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.
Cite
CITATION STYLE
LV, D.-L., & ZHU, S.-B. (2018). A Big Data Privacy Protection Solution Based on Compressive Sensing Theory. DEStech Transactions on Computer Science and Engineering, (cimns). https://doi.org/10.12783/dtcse/cimns2017/17395
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