基于AHP-SVM的信息系统风险评估  

Risk Evaluation of Information System Security Based on Analytic Hierarchy Process and Support Vector Machine

作　　者：鲁华栋[1] 闫兵[1] 岳小冰[1] 

机构地区：[1]河南工业职业技术学院电子信息工程系,南阳473000

出　　处：《计算机系统应用》2016年第10期141-145,共5页Computer Systems & Applications

基　　金：河南省科技攻关项目(132102210208)

摘　　要：风险评估保证信息系统安全的一种重要技术,信息系统风险受到众多影响,具有动态性和时变性,为了提高信息系统风险评估的精度,提出一种层次分析法和支持向量机的信息系统风险评估模型(AHP-SVM).首先对当前信息系统风险研究现状进行分析,并根据专家构建评估指标体系,然后利用层次分析法对评估指标权重进行估计,并根据支持向量机建立信息系统风险的评估模型,最后利用信息系统风险数据对对评估结果的可靠性进行测试.结果表明,本文模型可以合理确定评估指标的权重,可以描述信息系统风险因子与期望值间的变化关系,获得了理想的信息系统风险评估结果,具有一定的实际应用价值.Risk assessment is an important technology to ensure the security of information system. Information system risk assessment is subject to a number of effects and has dynamic and changeable, in order to improve the accuracy of information system risk assessment, this paper puts forward a information system risk assessment model based on hierarchical analysis method and neural network. At first, the current situation of the information system risk are analyzed, and this paper builds the evaluation index system according to the experts, and then the analytic hierarchy process is used to estimate the weights of evaluation indexes, and SVM neural network is used to establish the information system risk assessment model, at last, the reliability of the evaluation results is tested by using the risk data of information system. The results show that the proposed model can reasonably determine the weight of evaluation index, it can describe relationship between risk factors and expected value of information system, obtains ideal assessment results, and so it has certain practical value.

关 键 词：系统风险 影响因素 指标权重 层次分析法 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]