计算机网络攻击效果灰色评估模型和算法

Grey evaluation model and algorithm of network attack effectiveness

计算机网络攻击效果评估是一个非常复杂的问题,在网络攻防实战环境下存在信息不完全和不确定的问题,而研究"少数据不确定"问题的灰色理论是处理此类问题的有力工具。提出将灰色理论应用于网络攻击效果评估,建立了计算机网络攻击效果评估指标体系,提出了基于粗糙集属性重要性的评估指标权重确定方法,研究了网络攻击效果灰色评估模型和评估算法。最后进行了实例验证,结果表明,该方法不仅能评估单个攻击方法的攻击效果,还能对不同攻击方法进行效果排序。

Network attack effect evaluation is a complex problem especially in the operation of network attack and de-fence, in which the information is incomplete and vague.The grey system theory is a powerful tool to solve the problem which has a little and uncertain information.A grey evaluation system and model, based on the evaluation index system, was proposed and grey evaluation algorithm was introduced.Using rough set theory, the nonlinear combination weight of evaluation indices was established.A simulation example was also given, which showed that the approach was brief and effective.This approach can be used to evaluate the effectiveness of single attack, as well as to compare like kind attack, so that the attack can be sorted based on the effect evaluation.