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

Volume

2

fYear

2009

fDate

11-14 Dec. 2009

Firstpage

380

Lastpage

384

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2009. CIS '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-5411-2

Type

conf

DOI

10.1109/CIS.2009.85

Filename

5376135