摘要
基于网络中节点之间不仅仅局限于直接交易建立起来的信任关系,还包括了第三方推荐信任的事实,提出了在P2P网络环境下基于推荐的信任模型。该模型用成功次数与失败次数在总交易数目中的比例作为直接信任度,将交易信誉与推荐信誉明确区分出来,引入了偏移因子计算推荐节点的可信性,通过惩罚因子和风险因素动态平衡节点直接信任度和其他节点的推荐信任度,得到目标节点的综合信任值,并给出仿真实验验证。实验结果证明,模型计算的综合信任值更趋近其真实值,并且能抵抗恶意节点的诋毁、协同作弊等威胁。
The nodes in network are not only confined the trust relationship which established by trading directly,but also including the third party＇s recommended trust.This paper presented a trust model based on recommended in P2P environment.It used the proportion of success and failure in the trade total number as direct trust value,the model distinguish between transaction reputation and recommendation reputation definitely.Besides it introduced the credibility of the recommended node with offset factor to calculate,and had got the integrated trust value of target node by the directly trust of dynamic equilibrium node with the punishment factors and the risk factors,and recommended trust other nodes.Finally,it gare the simulation experiments.The experimental results show that the integrated trust value is more close to real value,and can resist threats such as slandered by malicious node,collaborative cheating and so on.
出处
《计算机应用研究》
CSCD
北大核心
2012年第11期4320-4322,4326,共4页
Application Research of Computers
基金
广西可信软件重点实验室开放基金项目(200910595R06)
关键词
P2P网络
交易信誉
推荐信誉
推荐
偏移因子
peer-to-peer network
transaction reputation
recommendation reputation
recommend
offset factor
