scholarly journals A Reputation Management Framework Based on Global Trust Model for P2P Systems

2006 ◽  
pp. 896-899
Author(s):  
Jingtao Li ◽  
Xueping Wang ◽  
Yongqiang Chen ◽  
Gendu Zhang
Keyword(s):  
Trust Model ◽  
Reputation Management ◽  
Management Framework ◽  
P2p Systems

scholarly journals QADE: A NOVEL TRUST AND REPUTATION MODEL FOR HANDLING FALSE TRUST VALUES IN E–COMMERCE ENVIRONMENTS WITH SUBJECTIVITY CONSIDERATION

2015 ◽  
Vol 23 (1) ◽  
pp. 81-110 ◽  
Author(s):  
Eva ZUPANCIC ◽  
Denis TRCEK
Keyword(s):  
Trust Model ◽  
The Other ◽  
Reputation Management ◽  
Management Systems ◽  
Targeted Agents ◽  
Pairwise Similarity ◽  
Trust And Reputation ◽  
Brick And Mortar ◽  
Trading Partners ◽  
Reputation Model

Trust is essential to economic efficiency. Trading partners choose each other and make decisions based on how much they trust one another. The way to assess trust in e-commerce is different from those in brick and mortar businesses, as there are limited indicators available in online environments. One way is to deploy trust and reputation management systems that are based on collecting feedbacks about partners’ transactions. One of the problems within such systems is the presence of unfair ratings. In this paper, an innovative QADE trust model is presented, which assumes the existence of unfairly reported trust assessments. Subjective nature of trust is considered, where differently reported trust values do not necessarily mean false trust values but can also imply differences in dispositions to trust. The method to identify and filter out the presumably false values is defined. In our method, a trust evaluator finds other agents in society that are similar to him, taking into account pairwise similarity of trust values and similarity of agents’ general mindsets. In order to reduce the effect of unfair ratings, the values reported by the non-similar agents are excluded from the trust computation. Simulations have been used to compare the effectiveness of algorithms to decrease the effect of unfair ratings. The simulations have been carried out in environments with varying number of attackers and targeted agents, as well as with different kinds of attackers. The results showed significant improvements of our proposed method. On average 6% to 13% more unfair trust ratings have been detected by our method. Unfair rating effects on trust assessment were reduced with average improvements from 26% to 57% compared to the other most effective filtering methods by Whitby and Teacy.

scholarly journals A Novel Iterative and Dynamic Trust Computing Model for Large Scaled P2P Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenhua Tan ◽  
Xingwei Wang ◽  
Xueyi Wang
Keyword(s):  
Trust Management ◽  
Trust Model ◽  
Computation Method ◽  
Collusion Attack ◽  
Communication Architecture ◽  
P2p Systems ◽  
Iterative Computation ◽  
Main Challenge ◽  
Dynamic Trust ◽  
Complementary Part

Trust management has been emerging as an essential complementary part to security mechanisms of P2P systems, and trustworthiness is one of the most important concepts driving decision making and establishing reliable relationships. Collusion attack is a main challenge to distributed P2P trust model. Large scaled P2P systems have typical features, such as large scaled data with rapid speed, and this paper presented an iterative and dynamic trust computation model named IDTrust (Iterative and Dynamic Trust model) according to these properties. First of all, a three-layered distributed trust communication architecture was presented in IDTrust so as to separate evidence collector and trust decision from P2P service. Then an iterative and dynamic trust computation method was presented to improve efficiency, where only latest evidences were enrolled during one iterative computation. On the basis of these, direct trust model, indirect trust model, and global trust model were presented with both explicit and implicit evidences. We consider multifactors in IDTrust model according to different malicious behaviors, such as similarity, successful transaction rate, and time decay factors. Simulations and analysis proved the rightness and efficiency of IDTrust against attacks with quick respond and sensitiveness during trust decision.

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