DocumentCode :
2176837
Title :
A Dynamic Self-Adaptive Trust Model for P2P E-Commerce System
Author :
Wang, Jie ; Li, Miaomiao ; Yu, Yang ; Huang, Zhenguang
Author_Institution :
Dept. of Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
fYear :
2010
fDate :
11-13 Dec. 2010
Firstpage :
415
Lastpage :
420
Abstract :
P2P e-commerce systems are commonly perceived as an environment offering both opportunities and threats. The existence of malicious peers could damage the correctness and availability of them. One way to minimize such threats is to use trust model to evaluate the trustworthiness of peers. This paper presents a dynamic self-adaptive trust model for p2p e-commerce system - AdaptTrust model, which involves in two kinds of trust, namely direct trust and global reputation. The direct trust from a peer to another peer is calculated based on transaction feedbacks between them. The global reputation of a peer is calculated based on trustworthiness ratings from rating peers to the reference peer. Finally, a series of experiments have been done to verify the effectiveness and resistibility of the proposed trust model.
Keywords :
electronic commerce; peer-to-peer computing; security of data; transaction processing; AdaptTrust model; P2P e-commerce system; dynamic self-adaptive trust model; malicious peers; transaction feedbacks; trustworthiness; Adaptation model; Algorithm design and analysis; Biological system modeling; Communities; Computational modeling; Heuristic algorithms; Peer to peer computing; Ecommerce; P2P; Reputation; Trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9591-7
Electronic_ISBN :
978-0-7695-4323-9
Type :
conf
DOI :
10.1109/CSE.2010.73
Filename :
5692510
Link To Document :
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