An attack graph based network security evaluation model for hierarchical network
Haihui Ge, Lize Gu, Yixian Yang, Kewei Liu · 2010
To evaluate the security situation of hierarchical network, a novel evaluation algorithm based on the method of constructing a security risk function is proposed. The proposed algorithm is the aggregation of qualitative evaluation and quantitative evaluation. We quantify the asset loss (AL) and the threat value of each attack step (TVA) basing on attack graph, and adjust the loss of assets that are of the same type and have different uses with coefficient of asset importance (CAI). Then, we construct a risk evaluation function which is based on the above three parameters. Thus, the assessment score gotten through the evaluation function can comprehensively reflect the risk value including loss, threat of an attack step, and importance of the suffering entity. Finally, we get the risk value by fusing all subnets' risk value in one area, and divide the risk value into 4 security levels. Seen from the case study, the model solves the security evaluation problem for hierarchical network simply and efficiently.