Volume 8 Number 9 (Sep. 2013)
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JCP 2013 Vol.8(9): 2339-2347 ISSN: 1796-203X
doi: 10.4304/jcp.8.9.2339-2347

Network Security Risk Assessment Based on Attack Graph

Lixia Xie1, Xiao Zhang1, and Jiyong Zhang2
1 Civil Aviation University of China, College of Computer Science and Technology, Tianjin 300300, China
2 Swiss Federal Institute of Technology in Lausanne, School of Computer and Communication Science, CH-1015 Lausanne, Switzerland


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.

Index Terms—network security, risk assessment, multiagents, attack graph

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Cite: Lixia Xie, Xiao Zhang, and Jiyong Zhang, " Network Security Risk Assessment Based on Attack Graph," Journal of Computers vol. 8, no. 9, pp. 2339-2347, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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