Research of security risk in electric power information network
- Resource Type
- Conference
- Authors
- Li, Feng; Chen, Jia; Shu, Fei; Zhang, Jianye; Qing, Song; Guo, Wenbin
- Source
- 2017 6th International Conference on Computer Science and Network Technology (ICCSNT) Computer Science and Network Technology (ICCSNT), 2017 6th International Conference on. :361-365 Oct, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Power systems
Communication networks
Risk management
Password
Production
Operating systems
Network security
electric power information network
risk assess
styling
fuzzy judgment
- Language
The factors that threaten electric power information network are analyzed. Aiming at the weakness of being unable to provide numerical value of risk, this paper presents the evaluation index system, the evaluation model and method of network security based on multilevel fuzzy comprehensive judgment. The steps and method of security evaluation by the synthesis evaluation model are provided. The results show that this method is effective to evaluate the risk of electric power information network.