基于多属性熵权合成的软件可信等级评估方法  

An Entropy-weighted Multi-attribute Combination Method for Software Trustworthiness Classification Assessment

作　　者：王犇[1] 周兴社[1] 杨亚磊[1] 

机构地区：[1]西北工业大学计算机学院,陕西西安710072

出　　处：《微电子学与计算机》2014年第6期21-24,共4页Microelectronics & Computer

基　　金：国家"八六三"计划项目(2009AA010308);国家核高基项目(2009ZX01043)

摘　　要：提出了一种基于多属性熵权合成的软件可信等级评估方法,该方法基于证据分类对多元可信证据进行合成,再通过不确定熵计算各可信属性的权重值,进而合成待评测软件的可信级别.该方法着重解决了软件可信性评估中可信证据合成时证据冲突,以及多属性权重分配等问题,从而使软件可信评估的结果更加准确和真实.最后通过具体实施验证了该方法的可行性.We introduce an entropy-weight multi-attribute combination method for software trustworthiness classification assessment , which using evidence classification to combine multiple trust evidence , employing uncertain entropy to calculate the weight of each trust attributes ,and then combining the trust level of the evaluated software .The method has solved the trust evidence conflict , as well as multiple attribute weights allocation problem ,so that the result is more accurate . At last , the feasibility of this method is verified by specific implementation .

关 键 词：软件可信性评估 可信属性 证据合成 不确定熵 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]