As it lacks central management in Peer-to-Peer (P2P) e-commerce environments, prior to new transactions with an unknown peer, the trust evaluation is critical, 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 in the transaction trust evaluation and risk the new transaction, which may occur between unknown peers. The weakness may be utilized by malicious sellers to obtain good transaction reputation by selling cheap goods and then cheat buyers by selling expensive goods. In this paper we present a novel model for transaction trust evaluation, which differentiates transaction amounts and thus computes different impact factors when analyzing old transactions
Yan Wang 0002, Duncan S. Wong, Kwei-Jay Lin, Vijay