Research on automatic scanning method of network vulnerabilities in power system. Issue 1 (1st June 2022)

• Record Type: Journal Article
• Authors: Sun, Meng; Wang, Qi; He, Jue; Huang, Huailin; Huang, Yu; Shen, Xiaojie; Xiao, Yaohui; Fan, Suchun
• Is Part Of: Journal of physics. Volume 2290:Issue 1(2022)
• Publication Date: 2022-06-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2290/1/012036
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Power system network is an important guarantee for the smooth operation of power enterprises. Considering the current automatic network vulnerability scanning method of power system, the detection rate of network vulnerability scanning is low due to its poor scheduling ability. Therefore, this paper designs a new automatic scanning method for network vulnerabilities in power system. According to the infrastructure of power system network vulnerability scanner, the power system web page interaction behavior recognition model is constructed to complete the power system web page interaction behavior recognition. On this basis, the power system network scanning scheduling algorithm is designed. Combined with genetic algorithm, the variation process of power system network vulnerabilities is determined, the power system network security situation is determined, the power system network scanning scheduling and vulnerability mining are realized, and the design of power system network leakage automatic scanning method is completed. The experimental link is constructed to verify this method. The verification shows that this method can effectively improve the detection rate of network vulnerability scanning and the efficiency of vulnerability scanning to a certain extent.