DocumentCode
3427360
Title
A trust rating classification model in P2P resource discovery
Author
Zhao, Jie ; Huang, Wengming ; Liu, Chuangxue
Author_Institution
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear
2010
fDate
22-24 Oct. 2010
Firstpage
744
Lastpage
747
Abstract
This paper begins with an analysis of the defects of low efficiency and weak security of P2P network in the resource discovery, followed by the design of a trust rating classification model of vertically hierarchical structure and horizontal sub-domain. On the basis of the model that the all the nodes are divided into different layers vertically and different sub-domains horizontally, a classification algorithm of resource creditability is presented. The simulation experiment shows that this algorithm improves the efficiency and precision and enhances the security in P2P resource discovery.
Keywords
data privacy; pattern classification; peer-to-peer computing; P2P resource discovery; peer-to-peer network; resource creditability classification algorithm; trust rating classification model; Computational modeling; P2P; Resource Discovery; Trusted Certification;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-6834-8
Type
conf
DOI
10.1109/ICISS.2010.5657130
Filename
5657130
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