TY - GEN
T1 - Trust and risk evaluation of transactions with different amounts in Peer-to-Peer E-commerce environments
AU - Wang, Yan
AU - Lin, Fu Ren
N1 - Copyright 2006 IEEE. Reprinted from Proceedings of the 2006 IEEE International conference on e-business engineering (ICEBE 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
PY - 2006
Y1 - 2006
N2 - As Peer-to-Peer (P2P) e-commerce environments lack central management, prior to new transactions with an unknown peer, the trust evaluation becomes a very important concern, which relies on the transaction history data. Traditionally the evaluation process is based on other peers' recommendations neglecting transaction amounts. This may lead to the bias to the transaction trust evaluation and risk the new transaction, which may occur between unknown peers. This paper presents a novel model for transaction trust evaluation, which distinguishes transaction amounts and thus computes different impact factors when analyzing old transactions and computing trust values. As a result, the trust evaluation becomes more accurate, which is dependant on transaction history, the amounts of old transactions, the amount of the new transaction, and the temporal dimension. Therefore the obtained trust value can be taken as the risk indication of the forthcoming transaction.
AB - As Peer-to-Peer (P2P) e-commerce environments lack central management, prior to new transactions with an unknown peer, the trust evaluation becomes a very important concern, which relies on the transaction history data. Traditionally the evaluation process is based on other peers' recommendations neglecting transaction amounts. This may lead to the bias to the transaction trust evaluation and risk the new transaction, which may occur between unknown peers. This paper presents a novel model for transaction trust evaluation, which distinguishes transaction amounts and thus computes different impact factors when analyzing old transactions and computing trust values. As a result, the trust evaluation becomes more accurate, which is dependant on transaction history, the amounts of old transactions, the amount of the new transaction, and the temporal dimension. Therefore the obtained trust value can be taken as the risk indication of the forthcoming transaction.
UR - http://www.scopus.com/inward/record.url?scp=38649133825&partnerID=8YFLogxK
U2 - 10.1109/ICEBE.2006.102
DO - 10.1109/ICEBE.2006.102
M3 - Conference proceeding contribution
AN - SCOPUS:38649133825
SN - 0769526454
SN - 9780769526454
SP - 101
EP - 109
BT - Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006
A2 - Tsai, Wei-Tek
A2 - Chung, Jen-Yao
A2 - Younas, Muhammad
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - IEEE International Conference on e-Business Engineering, ICEBE 2006
Y2 - 24 October 2006 through 26 October 2006
ER -