基于灰色聚类的系统群安全评估方法

目前大多数信息系统的安全评估工作基于某个单一系统,根据其各个属性分层评估其安全状态,而面向系统群来评价信息系统安全等级的方法较少。针对信息系统的安全需求,提出一种基于系统群的安全等级评估方法。考虑到灰色系统理论中的灰色聚类分析方法采用白化权函数将一些评价对象分为几个等级,适合于系统结构复杂、不确定性高、有效信息缺乏的系统分析,文中使用白化权函数来确定信息系统的安全评估等级。首先,从参与评价的信息系统的角度,采用高效快速的K-均值聚类算法确定白化权函数；其次,运用白化权函数得出各个信息系统的灰级灰色聚类系数；最后,得出各个信息系统的安全状态等级。实例结果表明,该方法可快速有效地对信息系统群的安全等级进行评估。

Method of Safety Evaluation for System Group Based on Grey Clustering

At present,most of the security assessment works of the information system are based on the single imformation system,and its security status is evaluated according to each attribute hierarchy.There are few methods to evaluate the security level of information system for system group.According to the security requirements of information system,a security level evaluation method based on system group was proposed.Taking into account the grey clustering analysis method of grey system theory,some evaluation objects are divided into several grades by using the whitening weight function,which is suitable for the system analysis of complex structure,high uncertainty and lack of effective information,In this paper,we used the whitening weight function to determine the level of security evaluation of information system.Firstly,from the point of view of the information system,a fast and efficient K-mean clustering algorithm is used to determine the whitenization weight function.Secondly,the grey level grey clustering coefficient of each information system is obtained by using the whitening weight function.Finally,we can get the security level of each information system.The results show that this method can effectively evaluate the security level of information systems group.