Computer Science ›› 2013, Vol. 40 ›› Issue (9): 156-158.

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Attack Graph Construction Method Based on Intelligent State Transition and Permission Improvement

MA Yan-tu and WANG Lian-guo   

  • Online:2018-11-16 Published:2018-11-16

Abstract: In view of the current attack graph in a wide range of network applications with time complexity and not accurate graphical description,this paper put forward a attack graph construction method based on intelligent state transition as well as permission improvement,which adopts the intelligent state transition way to build attack model,based on the model of planning the corresponding attack graph generation algorithm,and introduces the permissions in the attack graph generation algorithm improvement system.The method based on host connections between analysis,based on network attack state graph and network of different host original permissions,access permissions attack improvement path,can adjust the host network transformation condition in the permissions,then ensure network security,corresponding to large-scale complicated network attacks effectively attack graph,to ensure the overall network security and high-efficiency.By the final simulation experiment,this method can decrease consumption of system CPU time to complete the construction of network attack graph,has lower time complexity and high scalability,is a highly efficient attack graph method.

Key words: Attack graph,Network security,Intelligent state transition,Permission improvement

[1] 王国玉,王会梅,陈志杰,等.基于攻击图的计算机网络攻击建模方法[J].国防科技大学学报,2009,1(4):74-80
[2] 陈春霞,黄皓.攻击模型的分析与研究[J].计算机应用研究,2005,2(7):115-118
[3] 司加全,张冰,苘大鹏,等.基于攻击图的网络安全性能增强策略制定方法[J].通信学报,2009,0(2):123-128
[4] 冯萍慧,连一峰,戴英侠,等.面向网络系统的脆弱性利用成本估算模型[J].计算机学报,2006,8(29):1375-382
[5] 朱明,殷建平,程杰仁,等.基于贪心策略的多目标攻击图生成方法[J].计算机工程与科学,2010,2(6):22-25
[6] 叶云,徐锡山,贾焰,等.基于攻击图的网络安全概率计算方法[J].计算机学报,2010,33(10):1987-1996
[7] 黄志宏,巫莉莉,张波.基于云计算的网络安全威胁及防范[J].重庆理工大学学报:自然科学版,2012,26(8):85-90

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