摘要
在分析P2P网络传统信任模型的基础上,提出一种模糊理论和传统数学理论相结合的综合信任模型。该模型将模糊理论应用于网络节点间主观信任的计算,能够更好地处理复杂的网络因素对信任的影响;利用传统的数学模型来计算推荐信任不但可以得到准确的信任值,还可以将网络的负担降到最低。同时模型中引入了等级反馈机制和时间因子,使得模型的信任度评估更加准确和灵活。仿真结果表明,该模型较传统模型有一定的改进。
Based on the analysis of traditional trust models in P2P networks,this paper puts forward an integrated trust model based on fuzzy theory and traditional mathematical theory.The fuzzy theory is applied in the calculation of subjective trust between network nodes,so that the influence of complex network factors on trust can be handled better.By using traditional mathematical theory to calculate recommendation trust,the accurate trust value can be obtained and the burden of network will be minimized.In this model,ranked feedback mechanism and time factor are introduced,so the accuracy and sensitivity of trust value are improved.The simulation result indicates that this model has advancement compared to traditional models.
出处
《计算机与现代化》
2011年第2期61-64,共4页
Computer and Modernization
