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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianyong Wang Yuling Li Yuhua Liu Xiu Jing |
| Copyright Year | 2009 |
| Abstract | A trust model for P2P network is proposed in this thesis, namely CRM, a cluster and recommendation based multi-granularity trust model. Compared to the current trust model, some problems can be solved better, for instance, these disadvantages contain great costs due to iterative calculations, and security such as disguise, slandering caused by anonymous and open characteristics of P2P networks. The simulation results show the CRM model is more robust in resisting evil behaviors efficiently. Therefore the quality of service and the success rate for network deals in P2P network are highly improved. |
| Starting Page | 380 |
| Ending Page | 384 |
| File Size | 300484 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424454112 |
| e-ISBN | 9781424454129 |
| DOI | 10.1109/CIS.2009.85 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Peer to peer computing Quality of service Educational institutions Cluster Trust P2P Network Recommendation Computer science Multi-granularity Robustness Mathematical model IP networks Computer security Computational intelligence |
| Content Type | Text |
| Resource Type | Article |
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