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Trust Model Researching In Peer-to-peer Network

Posted on:2011-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:K W WangFull Text:PDF
GTID:2178330332461823Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
P2P network is a kind of distribution network, it does not rely on some central servers who provide service, and random two computer nodes can be service provider and requester. Compares with C/S pattern, P2P network has some advantages such as fault tolerance to be good, robust, extension fine and so on. And the P2P network in distributional storage, coordination computation and some application domain get a great development. But P2P network is not perfect, as a result of the characteristic of P2P network such as anonymous, dynamic, open and so on, and causes the P2P network easily to receive puzzles from invasion, deceit, malicious attack and so on. Because of tP2P network is based on node voluntary shared resource this premise, enables the node to favor own benefit maximization in the network, easily to cause serious free-riding problem. In view of the unique nature of P2P network, to establish a perfect kind of trust mechanism already become an imminent problem. This article summarized domestic and foreign classics trust model and proposed two new trust models, mainly work include these two respects:The first one is, propose a time-decay based trust model in peer-to-peer networks. Through the transaction time is faded; the proposed model makes trust value changed dynamically with time decay, which achieves the goal that the more transaction closes to, the more reliable it is. Finally this paper presents the experimental protocol and simulation. The experimental result shows that the proposed model is more approached fact value and it can resist vicious association attraction, dynamic strategy attraction, and it has a favorable performance.The second one is, proposes a modified punishment mechanism based on E-commerce in P2P networks. The times and money of unsuccessful transactions are taken into account in our model so that the deceiving behavior of malicious nodes aimed at bypassing penalty mechanism is flitted. Finally, we will testify the validity and robustness of the model. The experimental results show that our trust model is better than other extant ones and simulation experiment shows that this model can be effectively used in E-commerce.
Keywords/Search Tags:Peer-to-Peer Network, Trust Model, Local Reputation, Recommendation Reputation, Time Attenuation, Punishment Factor
PDF Full Text Request
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