摘要
为了提高P2P网络节点间交互的安全性及成功率,客观地反映信任的模糊性与随机性本质,提出基于云模型的信任评价模型.通过信任云及其数字特征的定义,实现了信任定性描述与定量表示的统一.基于逆向信任云生成算法、信任云合并算法进行信任综合,以便获得更为完整的信任信息,并在推荐节点的选择上引进了信任的不确定度计算,提高了推荐的可靠性.通过信任云的相似度计算算法,生成相应的信任综合评价结果,作为节点交易的参考和依据,实现了信任的决策.通过仿真实验,表明该方法可较为客观、真实地反映P2P节点间的信任程度,从而为节点间成功交易提供了科学的、有效的决策依据.
To improve the security and success rate of transaction in P2P network and show the ambiguity and randomicity of the trust objectively,a trust evaluation model is proposed base on cloud model theory.By created definition of the trust cloud and digital properties,the qualitative description and quantitative representation of trust is unified.In order to obtain more complete trust information,comprehensive trust cloud is realized based on algorithm of converse trust cloud generator and trust merging,and by calculating the uncertainty of trust to choose recommend node,which improve the reliability of recommendation.Using algorithm of similarity,trust comprehensive trust evaluation is generate,which realizes Decision-making of trust as reference and accordance of a trade node.Through simulation experiment show that the method can reflect the level of trust between P2P nodes Objective and truly,which provide Scientific and effective foundation for successful trading between nodes.
出处
《小型微型计算机系统》
CSCD
北大核心
2012年第11期2477-2480,共4页
Journal of Chinese Computer Systems
基金
山西大同大学科研基金项目(2010K01
2011K8)资助
关键词
P2P
云模型
信任云
信任评价
P2P network
cloud model
trust cloud
trust evaluation
