Title :
Cluster and Recommendation Based Multi-granularity Trust Model in P2P Network
Author :
Wang, Jianyong ; Li, Yuling ; Liu, Yuhua ; Jing, Xiu
Author_Institution :
Coll. of Sci., Huazhong Agric. Univ., Wuhan, China
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.
Keywords :
peer-to-peer computing; quality of service; security of data; CRM model; P2P network; cluster and recommendation based multigranularity trust model; quality of service; Computational intelligence; Computer science; Computer security; Costs; Educational institutions; IP networks; Mathematical model; Peer to peer computing; Quality of service; Robustness; Cluster; Multi-granularity; P2P Network; Recommendation; Trust;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.85
