| Title | Research on Key Node Method of Network Attack Graph Based on Power Information Physical System |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Guan, Xiaojuan, Ma, Yuanyuan, SHAO, Zhipeng, Cao, Wantian |
| Conference Name | 2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC)2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC) |
| Keywords | Attack Graphs, composability, Conferences, network attack graph, node betweenness, node clustering degree, node degree, node proximity, Power systems, Predictive Metrics, pubcrawl, Resiliency, security, spatial distribution characteristics of network traffic, telecommunication traffic |
| Abstract | With the increasing scale of network, the scale of attack graph has been becoming larger and larger, and the number of nodes in attack graph is also increasing, which can not directly reflect the impact of nodes on the whole system. Therefore, in this paper, a method was proposed to determine the key nodes of network attack graph of power information physical system to solve the problem of uncertain emphasis of security protection of attack graph. |
| DOI | 10.1109/ICEIEC51955.2021.9463831 |
| Citation Key | guan_research_2021 |
Research on Key Node Method of Network Attack Graph Based on Power Information Physical System