摘要
提出了一种基于时间因子和惩罚措施的信任模型,在进行节点信任值评定时,考虑了时间因子对信任值的影响,距离当前时间越远的交易行为在信任值评定时的参考价值越小。当交易失败或发生欺骗时,目标节点会受到惩罚。理论分析和仿真实验表明,该模型能很好地反映节点的当前状态,并能抵御虚假推荐进行的欺骗。
This paper presents a trust model in P2P networks which is based on time factor and punitive measures.When it carries on the node trust value evaluation,it has considered the time factor to influence the trust value.As farther the transactions time away from the current time,the transactions are less value in the trust evaluation.When the transaction defeats or has the deceit,the target node will be punished.Theoretical analysis and simulation experiments show that the model can well reflect the current status of nodes,and can resist the deceit of false recommend.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第20期115-117,共3页
Computer Engineering and Applications
关键词
对等网
时间因子
惩罚措施
信任模型
Peer-to-Peer
time factor
punitive measures
trust model
