Description and Analysis of Data Security Based on Differential Privacy in Enterprise Power Systems

Zhaofeng Zhong, Ge Zhang (), Li Yin and Yufeng Chen
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Zhaofeng Zhong: Hitachi Building Technology (Guangzhou) Co., Ltd., Guangzhou 510610, China
Ge Zhang: The Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China
Li Yin: The Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China
Yufeng Chen: The Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China

Mathematics, 2023, vol. 11, issue 23, 1-20

Abstract: The pursuit of environmental sustainability, energy conservation, and emissions reduction has become a global focal point. Electricity is the primary source of energy in our daily lives. Through the analysis of smart power systems, we can efficiently and sustainably harness electrical energy. However, electric power system data inherently contain a wealth of sensitive user information. Therefore, our primary concern is protecting these sensitive user data while performing precise and effective analysis. To address this issue, we have innovatively proposed three granular information models based on differential privacy. In consideration of the characteristics of enterprise electricity consumption data and the imperative need for privacy protection, we implement a reasonable modeling process through data processing, information granulation expression, and the optimization analysis of information granularity. Our datasets encompass enterprise electricity consumption data and related attributes from Hitachi Building Technology (Guangzhou) Co., Ltd’s cloud computing center. Simultaneously, we have conducted experiments using publicly available datasets to underscore the model’s versatility. Our experimental results affirm that granular computation can improve the utility of differential privacy in safeguarding data privacy.

Keywords: differential privacy; granular computing; power systems; data security description (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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