基于图论方法提出了一种新的证据信任模型(graph theory based evidential trust model,GTETM),解决了现有证据信任模型中普遍存在的在信任聚合过程中缺少对信任链之间依赖关系的有效处理等引起的模型性能下降问题.同时,GTETM在建模实...基于图论方法提出了一种新的证据信任模型(graph theory based evidential trust model,GTETM),解决了现有证据信任模型中普遍存在的在信任聚合过程中缺少对信任链之间依赖关系的有效处理等引起的模型性能下降问题.同时,GTETM在建模实体的信任度时区分实体的服务信任度与反馈信任度,并在证据理论框架下提出两种不同的信任传递方法,增强了模型抵抗恶意推荐攻击的能力.仿真实验表明,与已有信任度量模型相比,GTETM具有更强的抑制策略欺骗及共谋行为的能力,在信任度量准确性方面也有较大提高.展开更多
The rapid development of the Network makes the comprehensive analysis as well as the quantitative evaluation of its security become more and mere important. This paper illustrates the major realization process of a Ne...The rapid development of the Network makes the comprehensive analysis as well as the quantitative evaluation of its security become more and mere important. This paper illustrates the major realization process of a Network Security Quantitative Evaluation System,which,from an intruder's angle ,established a Hierarchy Intrusion Relationship Graph by analyzing the credit degree fusion and relevancy of the secure information of the target network and by combining with powerful database information. At last, by applying some relative mathematics model and arithmetic, the paper analyzes and evaluates the security of this Network Hierarchy Intrusion Relationship Graph comprehensively and quantitatively.展开更多
文摘基于图论方法提出了一种新的证据信任模型(graph theory based evidential trust model,GTETM),解决了现有证据信任模型中普遍存在的在信任聚合过程中缺少对信任链之间依赖关系的有效处理等引起的模型性能下降问题.同时,GTETM在建模实体的信任度时区分实体的服务信任度与反馈信任度,并在证据理论框架下提出两种不同的信任传递方法,增强了模型抵抗恶意推荐攻击的能力.仿真实验表明,与已有信任度量模型相比,GTETM具有更强的抑制策略欺骗及共谋行为的能力,在信任度量准确性方面也有较大提高.
文摘The rapid development of the Network makes the comprehensive analysis as well as the quantitative evaluation of its security become more and mere important. This paper illustrates the major realization process of a Network Security Quantitative Evaluation System,which,from an intruder's angle ,established a Hierarchy Intrusion Relationship Graph by analyzing the credit degree fusion and relevancy of the secure information of the target network and by combining with powerful database information. At last, by applying some relative mathematics model and arithmetic, the paper analyzes and evaluates the security of this Network Hierarchy Intrusion Relationship Graph comprehensively and quantitatively.