Paper Info
Title
Hierarchical Fuzzy Trust Management for Customer-to-Customer in Peer-to-Peer eCommerce
Abstract
Peer-to-peer (P2P) eCommerce are commonly perceived as an environment offering both opportunities and threats. For peers to be effective they need some mechanism for managing this risk of failure. One way to minimize threats in such an open environment is to exploit reputation to help evaluate the trustworthiness of what and predict the future behaviors of peers. In this study, a set of parameters were identified for describing the trust of a peer and proposes a framework based on a series of underpinning relationships among these factors. In simulation, this trust model has been shown to improve the efficiency of P2P eCommerce system by significantly decreasing the amount of malicious behavior on the network.
Year
DOI
Venue
2008
10.1109/ISCSCT.2008.334
ISCSCT (2)
Keywords
Field
DocType
customer-to-customer,underpinning relationship,fuzzy set theory,peer-to-peer ecommerce,reputation,trust,p2p ecommerce system,peer-to-peer,malicious behavior,fuzzy logic,open environment,electronic commerce,trust model,peer-to-peer computing,hierarchical fuzzy trust management,future behavior,security of data,p2p,chromium,customer to customer,fuzzy systems,computational modeling
Peer-to-peer,Computer science,Customer to customer,Fuzzy logic,Knowledge management,Fuzzy set,Exploit,Fuzzy control system,Underpinning,Reputation
Conference
Volume
ISBN
Citations 
2
978-1-4244-3746-7
2
PageRank 
References 
Authors
0.38
9
4
Name
Order
Citations
PageRank
Huaiqing Lin1112.95
Zhitang Li222631.89
Yejiang Zhang332.08
Chuiwei Lu4123.03