Name
Abstract | ||
|---|---|---|
In order to protect the network and evaluate the network security risks automatically, a new multi-agents risk assessment model based on attack graph (MRAMBAG) is presented. First, a network risk assessment model with master-slave agents is established, especially the functional architecture of master-slave agents and the risk association relation analysis process are designed. Then, the attack path and the attack graph are constructed by using the Attract Graph Building algorithm with the input of the dynamic data information collected by components. Finally, risk indexes of attack path, components, hosts, vulnerabilities and association risk index of network nodes are calculated successively and consequently the security risk quantitative index of target networks are obtained. The experimental results demonstrate that the MRAMBAG is a more feasible and effective way for evaluate the network security risk. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jcp.8.9.2339-2347 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
network security, risk assessment, multi-agents attack graph | Data mining,Graph,Functionalism (architecture),Computer science,Network security,Node (networking),Risk assessment,Dynamic data,Attack graph,Vulnerability | Journal |
Volume | Issue | ISSN |
8 | 9 | 1796-203X |
Citations | PageRank | References |
3 | 0.50 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lixia Xie | 1 | 12 | 3.66 |
| Xiao Zhang | 2 | 3 | 0.50 |
| Jiyong Zhang | 3 | 3 | 0.83 |