个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连工学院
学位:硕士
所在单位:计算机科学与技术学院
电子邮箱:xfmeng@dlut.edu.cn
TrueTrust: a feedback-based trust management model without filtering feedbacks in P2P networks
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论文类型:期刊论文
发表时间:2020-01-01
发表刊物:PEER-TO-PEER NETWORKING AND APPLICATIONS
收录刊物:EI、SCIE
卷号:13
期号:1
页面范围:175-189
ISSN号:1936-6442
关键字:P2P network; Trust management model; Feedback-aware; Retributive justice; Malicious feedback
摘要:With the increases of P2P applications and their users, the attacks on P2P networks have also increased significantly. To handle the problem, researchers have proposed many kinds of P2P trust management models, in which the feedback-based ones took the major part. Due to the existence of false feedbacks, however, the effectiveness of such a trust management model depends heavily on how effective the feedback filtering mechanism is. This paper proposes a novel trust management model named TrueTrust, which makes use of all the feedbacks on a peer to calculate the peer's credibility without using feedback filtering mechanism. Also, our trust management model calculates a peer's credibility for a requester heavily relying on the requester's past feedbacks on the peer's services. This means that if a requester slandered a peer's services for its collusive group, then it is difficult for the requester to receive services from the peer any more even though the services are authentic due to the lower peer's credibility calculated for the requester. This reflects the idea of retributive justice and thus discourages rational peers from giving false feedbacks. The simulation results indicate that our trust management model could both curb malicious attacks and improve successful download rate in P2P networks.