A Novel Reputation-Based Model for e-Commerce
Reputation systems are very important in e-markets, where they help buyers to decide whether to purchase a product. Since a higher reputation often represents higher profit, malicious users may try to deceive them to increase their reputation. This may be aggravated through fear of retaliation to bad ratings or collusion of multiple users so that they can perform a fraud of high value before being denounced by their victims. In this paper, the authors provide a new Reputation Management System (RMS) which prevents retaliation and minimizes fake ratings due to collusion.