基于模糊信息融合技术的攻击要素关联

Association of Attacks Factors Based on Fuzzy Information Fusion

主要针对当前网络安全态势知识不易获得的问题,提出了自己的网络化系统安全态势评估模型并定义了攻击要素。继而使用动态的方法量化了攻击频率、攻击难易性和攻击危害度,使之可以更加精确地表示攻击次数、攻击成功的概率和攻击造成的严重后果。同时针对攻击信息的不确定性、不完整性、模糊性和多变性的特点,提出将一种模糊信息融合方法——基于Mamdani模糊推理的算法来实现攻击要素的关联。最后,应用Matlab7.0仿真实验工具进行了仿真,实验结果证明,本文提出的算法可以真实地反映安全态势情况。

Facing the current increasingly serious network scrutiny situation,model of networked system security situation evaluation and definition of attack factors is presented based on the problems.Then attack frequency,attack difficult degree and attack compromise degree are quantized by dynamic method.Because the attack information are uncertain,incomplete,intangible,changeful,a method of fuzzy information fusion-ased on Mamdani fuzzy reasoning method is put forward,applied on association of attack factors.Through using Matlab7.0 tools,the simulations about this system are done based on the methods.The experiment proves the method feasible and rational.