Performance Evaluation of Data Utility for a Differential Privacy Scheme Supporting Fault Tolerance

Author:

Zhang Lei12ORCID,Wang Mingxiang1,Xiu Jianxin2

Affiliation:

1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China

2. School of Information Engineering, East University of Heilongjiang, Harbin 150086, China

Abstract

The evolution of smart grids improves the sustainability, controllability, stability, and efficiency of traditional power grids. There is a challenging issue in smart grids with protecting users’ privacy while collecting and controlling individual fine-grained data. To ensure data integrity and address the privacy issue, differential privacy protection is an efficient method to resist differential attacks on aggregated data. However, due to differential noise and faulty smart meters, the problem of differential noise deviation has a great impact on the utility of aggregated data. In this paper, we further supplement the previous work by improving the prediction method, forming a relatively complete DP protection scheme (DPP-UFT) with fault tolerance, and providing a detailed performance evaluation process. The experimental results show that the proposed method of adding differential noise based on the estimated failure rate is related to the estimated failure rate and the noise factor. Compared with several other related literature, it has achieved a higher data utilization effect.

Funder

the Natural Science Foundation of Heilongjiang Province of China

the research start-up funds of Guangdong Polytechnic Normal University

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference28 articles.

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2. Differential privacy protection scheme supporting high data utility and fault tolerance;Zhang;J. Zhejiang Univ. (Eng. Sci.),2019

3. A survey on security communication and control for smart grids under malicious cyber attacks;Peng;IEEE Trans. Syst. Man. Cybern. Syst.,2019

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5. Zia, M.T., Khan, M.A., and El-Sayed, H. (2020, January 17–18). Application of Differential Privacy Approach in Healthcare Data–A Case Study. Proceedings of the 14th International Conference on Innovations in Information Technology (IIT), Al Ain, United Arab Emirates.

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