Smart grid data privacy protection algorithm
| Title | Smart grid data privacy protection algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Shuo, Y., Weimin, W., Zhiwei, K., Hua, F., Yan, Z. |
| Conference Name | 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) |
| ISBN Number | 978-1-5386-2159-2 |
| Keywords | Communication 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. |
| URL | http://ieeexplore.ieee.org/document/8266481/ |
| DOI | 10.1109/ISPACS.2017.8266481 |
| Citation Key | shuo_smart_2017 |