Research on data privacy protection mechanism for electric power customers.
CSTR:
Author:
Affiliation:

(1. Marketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China; 2. Southeast University, Nanjing 210000, China)

Clc Number:

Fund Project:

This work is supported by National Natural Science Foundation of China(No.61772131)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    With the advent of the Internet and the era of bigdata, the value of data is becoming more and more significant, playing a more and more important role in various fields. It also givesbirth to a new research field, that is data privacy security. Powergrid companies collect and store a large amount of power customer data. Solving the problem that how to protect the privacy and security of customer data in the process of using has become particularly urgent. By analyzing the characteristics and application scenarios of power customer data, a construction scheme of data privacy protection system for power customer is proposed, which includes business scenario classification, privacy classification,protectionstrategy and protection method library. An active privacy protection mechanism for power customer data is also built, and the active recommendation of data privacy protection strategies and technology methods for power customers are realized. The practicalcase shows that the data privacy protection system for power customersestablished has good practicability.

    Reference
    Related
    Cited by
Get Citation

邹云峰,徐 超,倪巍伟,唐刘远,沈 涛.电力客户数据隐私保护机制研究[J].电力需求侧管理英文版,2020,22(2):83-87.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 21,2019
  • Revised:November 19,2019
  • Adopted:
  • Online: March 30,2020
  • Published:
Article QR Code