| Title | Network Security Situation Assessment Method Based on Absorbing Markov Chain |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Gao, Hongbin, Wang, Shangxing, Zhang, Hongbin, Liu, Bin, Zhao, Dongmei, Liu, Zhen |
| Conference Name | 2022 International Conference on Networking and Network Applications (NaNA) |
| Keywords | Absorbing Markov chain, Collaboration, composability, compositionality, Computer crime, computer theory, graph theory, Human Behavior, Markov processes, Metrics, network assets, Network security, policy governance, pubcrawl, resilience, Resiliency, security, situation assessment |
| Abstract | This paper has a new network security evaluation method as an absorbing Markov chain-based assessment method. This method is different from other network security situation assessment methods based on graph theory. It effectively refinement issues such as poor objectivity of other methods, incomplete consideration of evaluation factors, and mismatching of evaluation results with the actual situation of the network. Firstly, this method collects the security elements in the network. Then, using graph theory combined with absorbing Markov chain, the threat values of vulnerable nodes are calculated and sorted. Finally, the maximum possible attack path is obtained by blending network asset information to determine the current network security status. The experimental results prove that the method fully considers the vulnerability and threat node ranking and the specific case of system network assets, which makes the evaluation result close to the actual network situation. |
| DOI | 10.1109/NaNA56854.2022.00102 |
| Citation Key | gao_network_2022 |
Network Security Situation Assessment Method Based on Absorbing Markov Chain