吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1392-1397.doi: 10.7964/jdxbgxb201405027

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Automatic recognition model of intrusive intention based on three layers attack graph

LUO Zhi-yong1,YOU Bo2,XU Jia-zhong2,LIANG Yong1,3   

  1. 1.School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China;
    2.School of Automation, Harbin University of Science and Technology, Harbin 150080, China;
    3.School of Information Technology, Eastern Liaoning University, Dandong 118003,China
  • Received:2013-03-06 Online:2014-09-01 Published:2014-09-01

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Abstract: In order to solve the difficulties of predicting intrusion attempts and finding network vulnerability, an automatic identification method of intrusion attempts is proposed, which is based on three layers attack graph. This method builds the network's three layers attack graph based on the analysis of the underlying alarm data. Then it determines the quantitative attack graph from the analysis of the probability of the intrusion attempts. Finally, the critical host in the network is found by the generation algorithm of the minimum key point set. Thus, the manager can get the right network security policy. It is verified that the proposed intrusion identification method is feasible, effective and simple.

Key words: computer engineering, network security, intrusion detection, intrusion intention, attack graphs

CLC Number: 

  • TP309.2
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