
Risk Assessment of Power Monitoring System Based on Fuzzy Analytical Hierarchy Process
Author(s) -
Huifeng Li,
Tiecheng Li,
Qigui Yao,
Weixun Li,
Libo Yang,
Guang Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2137/1/012023
Subject(s) - analytic hierarchy process , consistency (knowledge bases) , computer science , reliability engineering , fuzzy logic , risk analysis (engineering) , process (computing) , risk assessment , hierarchy , electric power system , risk management , power (physics) , data mining , operations research , engineering , computer security , artificial intelligence , medicine , physics , management , quantum mechanics , economics , market economy , operating system
The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.