网络抗攻击性能的遗传投影寻踪评估模型  

Genetic Projection Pursuit Evaluation Method of Network Attack Resistance Ability

作　　者：王会梅[1] 李旭[1] 鲜明[1] 王国玉[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《计算机科学》2010年第6期43-45,163,共4页Computer Science

基　　金：国家自然科学基金项目(60372039)资助

摘　　要：抗攻击测试是进行系统安全测评的重要手段之一,对网络系统的抗攻击能力进行评估是抗攻击测试需要解决的一个关键问题。根据影响网络系统的安全属性,从抗攻击测试网络系统的攻击效果和模拟攻击方的攻击代价两个方面来构建网络抗攻击性能评估指标体系,提出了网络抗攻击性能的投影寻踪评估模型,投影指标函数采用基于实数编码的加速遗传算法进行寻优。最后进行了实例验证,结果表明,该方法不仅能够对网络的抗攻击性能进行很好的评价,还能对系统抵抗不同攻击方法的能力进行排序。Attack Resistance Test （ART） is an important security evaluation method and evaluating the system＇s attack resistance ability becomes a new domain of ART. Based on the security properties of the network, the network＇ s attack resistance evaluation indexes were established from views of the goal system＇s attack effect and the hacker＇s cost. A projection pursuit evaluation model based on real coding based accelerating genetic algorithm was presented, and it was used in attack resistance ability evaluation for the first time. A simulation example was given, which showed that the approach was brief and effective. The approach can be used to evaluate the attack resistance ability, as well as to compare like kind attack＇s effect.

关 键 词：抗攻击测试 评估指标 投影寻踪 评估模型 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]