期刊名称：Journal of Theoretical and Applied Electronic Commerce Research
印刷版ISSN：0718-1876
电子版ISSN：0718-1876
出版年度：2016
卷号：11
期号：1
页码：46-66
语种：English
出版社：Universidad de Talca
其他摘要：Agent-mediated reputation systems provide the necessary decision making support to facilitate the automation of processes, and to improve the quality of services in an information asymmetric e-market. Reputation systems encourage honest behavior and discourage malicious behavior of buyer and seller agents by safeguarding honest participants and by laying a foundation for security through social control mechanisms. In this paper, we propose a reputation system that aims to safeguard honest buyers from rogue behavior by counterparties and deceptive buying peers. It employs reputation functions with attack-resilient parameters based on the e-market parameters like value of the transaction and varying experience of agents.These parameters help to reduce the incentive for dishonest behavior, and to minimize harm in case of attacks by rogue sellers in order to improve the trustworthiness among participants in the e-market.
