Biblio

Filters: Author is Shu, F.  [Clear All Filters]
2018-03-05
Shu, F., Li, M., Chen, S., Wang, X., Li, F..  2017.  Research on Network Security Protection System Based on Dynamic Modeling. 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1602–1605.
A dynamic modeling method for network security vulnerabilities which is composed of the design of safety evaluation model, the design of risk model of intrusion event and the design of vulnerability risk model. The model based on identification of vulnerabilities values through dynamic forms can improve the tightness between vulnerability scanning system, intrusion prevention system and security configuration verification system. Based on this model, the network protection system which is most suitable for users can be formed, and the protection capability of the network protection system can be improved.
Shu, F., Li, M., Chen, S., Wang, X., Li, F..  2017.  Research on Network Security Protection System Based on Dynamic Modeling. 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). :1602–1605.
A dynamic modeling method for network security vulnerabilities which is composed of the design of safety evaluation model, the design of risk model of intrusion event and the design of vulnerability risk model. The model based on identification of vulnerabilities values through dynamic forms can improve the tightness between vulnerability scanning system, intrusion prevention system and security configuration verification system. Based on this model, the network protection system which is most suitable for users can be formed, and the protection capability of the network protection system can be improved.
2018-05-30
Li, F., Chen, J., Shu, F., Zhang, J., Qing, S., Guo, W..  2017.  Research of Security Risk in Electric Power Information Network. 2017 6th International Conference on Computer Science and Network Technology (ICCSNT). :361–365.

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.