Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption

Author:

Yan Renwu1ORCID,Lin Chuan2,Zhang Wen-feng3,Chen Li-wen3,Peng Kang-ning3

Affiliation:

1. Fujian Key Laboratory of Automotive Electronics and Electric Drive Technology, Fujian Colleges and Universities Engineering Research Center of Smart Grid Simulation & Analysis and Integrated Control, College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

2. Fujian Colleges and Universities Engineering Research Center of Smart Grid Simulation & Analysis and Integrated Control, College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

3. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

Abstract

In the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has become a research hotspot urgently. This article proposes a new type of load decomposition method for electric vehicle load information and compares it with hidden Markov model algorithm to verify its accuracy. On this basis, the elliptic curve encryption algorithm is used to encrypt the users’ electricity data, and the function and effectiveness of the encryption algorithm are verified by comparing the load decomposition of the electric vehicle with the unencrypted data.

Funder

educational commission of Fujian province of China

natural science foundation of fujian province

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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