期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：4
页码：51-62
DOI：10.14257/ijsia.2016.10.4.06
出版社：SERSC
摘要：Attack intention recognition is to reason and judge the goal of attackers according to attack behavior and network environment. In order to deal with the dynamical character of offense-defense confrontation, a dynamical real-time network attack intention recognition algorithm was proposed. By correlating real-time security alerts and vulnerabilities, we recognized the spread route and stage of attacks based on graph theory and probability theory. Then we identified the attack intention and predicted the possible transition of attacks, combined with network connectivity relationship. A simulation experiments for the proposed network attack intention recognition algorithm is performed by network examples. The experimental results show that the proposed method can be more accurately identify attack intention and fully predict the post stage of attacks.
