DocumentCode
3312272
Title
A Vector-Based Trust Model for P2P E-commerce
Author
Wang, Qian ; Wang, Lifang
Author_Institution
Coll. of Comput. Sci., Chongging Univ., Chongging
Volume
7
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
117
Lastpage
123
Abstract
Many current P2P trust models are not suitable for P2P e-commerce because the characteristics of P2P e-commerce are not taken into account. In addition, the simple representation of trust cannot be used to accurately gain assess to other peers in the e-commerce community because of the diversity and subjectivity of trust. In order to evaluate the peers for each other, this paper developed a vector-based trust model named VBTMod. There are two main features of the model. First, the specialty and complexity of e-commerce are considered and it reflects the characteristics of P2P e-commerce. Second, the trust is expressed with vector, which includes various factors of trust in e-commerce. With this model it is easier to extract useful information from the trust and accurately gain assess to other peers. Accordingly, the paper proposed a few assessment approaches for vector trust and strategies to defend attack. Simulation results show that VBTMod enables peers to have more accurate assessment to other peers according to their own needs and effectively defends a variety of attacks. Consequently the model can effectively reduce the risk in transactions.
Keywords
electronic commerce; feature extraction; peer-to-peer computing; P2P e-commerce; information extraction; risk reduction; vector-based trust model; Bandwidth; Computer science; Data mining; Distributed computing; Educational institutions; Large-scale systems; Peer to peer computing; Security; Time factors; polling; trust; trust model; vector;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.616
Filename
4667956
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