A Trust Evaluation Algorithm in P2P Network based on Trust Model

Author(s):  
Zhenling Wang
2013 ◽  
Vol 791-793 ◽  
pp. 1105-1108
Author(s):  
Xia Li Li ◽  
Jing Jing Xiang ◽  
Su Juan Zhang ◽  
Xiao Hua Yang

EigenTrust is a typical global trust model which presents a distributed and secure method to compute the global trust values for peer to peer network, but it cant judge the authenticity of the evaluation from the requesting service peer. To alleviate the problem, we present an improved algorithm based on EigenTrust trust model, called EnhanEigen. We use malicious percentage (mp) and feedback consistency percentage (fcp) as the new trust evaluation criterion to filter malicious peers. By changing the ways in which peers submit feedbacks and using comprehensive trust value, our trust model can distinguish false feedback to resist to malicious attack. Simulation experiments demonstrate that it has a better performance on ensuring the success rate of transactions and has the shorter algorithm execution time.


2018 ◽  
Vol 208 ◽  
pp. 05005
Author(s):  
Ke Xuemeng ◽  
Zhou Guofu ◽  
Du Zhoumin

The traditional centralized trusting mechanism does not meet the requirements of the modern P2P network, so it is necessary to establish a distributed trusting mechanism to strengthen the system’s reliability. Factors including time attenuation factor, interactive frequency factor, interactive size factor and average online time factor markedly influence the trust of the nodes in a P2P network. This paper defines the precise effects of these factors on trust and proposes a comprehensive trust model and global trust model based on direct trust and indirect trust.


2014 ◽  
Vol 644-650 ◽  
pp. 3024-3027
Author(s):  
Xia Li Li ◽  
Li Cheng Wu ◽  
Jing Jing Xiang ◽  
Hui Lin Ma ◽  
Fang Liao

The existing trust model in P2P network is limited in inhibiting feedback-cheating peers’ behaviors and can not fully resist the collectives’ attack. To solve this problem, we present a new trust model. It take Malicious Percentage (MP) and Feedback Consistency Percentage (FCP) as the new trust evaluation criterion to help filter malicious peers in selection strategy of peers. For feedback-cheating peers, we use global trust value to distinguish between true and false feedback information. Experiments demonstrate that our model is effective in resisting feedback-cheating peers’ behaviors and collectives’ attack.


2009 ◽  
Vol 29 (2) ◽  
pp. 503-506
Author(s):  
Yun-chang ZHANG ◽  
Jian-xin CHEN ◽  
Shan-shan CHEN

2009 ◽  
Vol 29 (10) ◽  
pp. 2603-2605 ◽  
Author(s):  
Shi-ping CHEN ◽  
Jia-bing WANG ◽  
Hui-qi QIU

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