摘要
传统的P2P信任是根据节点间交易成功和失败的次数来合成的,该值是个累积量,而实际的信任值是时变量。提出了一种新的P2P时域信任模型,对于局部信任,通过对每个时间段合成一个信任,然后根据时间段的新近赋予不同的加权合成局部信任;对于全局信任来说,随着时间的推移,发起节点会越来越重视自身对目标节点的信任评价,而其它节点的推荐值会得以削弱。该模型刻画了信任的动态性,能够有效地防止不良节点的信任短期积聚以及依靠其它节点共谋等恶意行为。
In P2P networks,it is inevitable to interact between unknown peers for services provided.To reduce risk,it requires the trust evaluation prior to and posterior to interactions.A trust model in time domain is proposed in this paper to characterize the time procedure of reputation.To a peer,the local reputation evaluation should not be determined by the number of success and failure transactions,and the global reputation should pay more attention to itself evaluation as the count of transactions increased. This model can evaluate accurately and dynamically the trust of the given peer,and can prevent the collusion form the recommend peers.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第19期115-117,122,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60372094)
关键词
P2P
局部信任度
全局信任度
时域
Peer to Peer（P2P）
local trust
global trust
time domain
