Electric Power ›› 2024, Vol. 57 ›› Issue (12): 206-212.DOI: 10.11930/j.issn.1004-9649.202311075

• Information and Communication • Previous Articles    

Predicting the Risk of Unauthorized Theft of Grid Identification Information Under IoT Technology

Huahui LV1(), Hang YANG1, Zhida LIN1, Huijuan LI2, Zhibo FU2   

  1. 1. China Southern Power Grid Co., Ltd., Guangzhou 510700, China
    2. China Southern Power Grid Digital Grid Research Institute, Guangzhou 510700, China
  • Received:2023-11-16 Accepted:2024-02-14 Online:2024-12-23 Published:2024-12-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51437006 & 61663032)

Abstract:

The power grid field usually has a complex network topology. In order to reduce the power grid security risks, this paper proposes a risk prediction method unauthorized theft of power grid identity information under the Internet of Things technology. By using the Internet of Things technology and vulnerability scanning tools, the risk of unauthorized theft of grid identity information is quantified, and the severity of different vulnerabilities is considered, using the fuzzy hierarchical analysis method for risk assessment. The research results show that prediction error of the proposed method is small, and the device authentication strength is high.

Key words: IoT technology, grid identification information, privacy breach, security vulnerabilities

CLC Number: