Visible to the public Smart grid data privacy protection algorithm

TitleSmart grid data privacy protection algorithm
Publication TypeConference Paper
Year of Publication2017
AuthorsShuo, Y., Weimin, W., Zhiwei, K., Hua, F., Yan, Z.
Conference Name2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
KeywordsCommunication systems, Human Behavior, human factors, Indexes, L-diversity algorithm, Manganese, privacy preserving, pubcrawl, resilience, Resiliency, Scalability, service computing, Signal processing, smart gird, Smart Grid Privacy
Abstract

Smart grid personalized service to improve the accuracy of the grid network query, along with the data security issues worthy of our thinking. How to solve the privacy problem in the smart grid, which is a challenge to the smart grid. As data in the grid becomes more and more important, better algorithms are needed to protect the data. In this paper, we first summarize the influence of k-anonymous algorithm on sensitive attributes in standard identifiers, and then analyze the improved L-diversity algorithm from the perspective of anonymous data privacy and security. Experiments show that the algorithm can protect the data in the smart grid.

URLhttp://ieeexplore.ieee.org/document/8266481/
DOI10.1109/ISPACS.2017.8266481
Citation Keyshuo_smart_2017