Dynamic Service Selection with Reputation Management

Abstract

In open and dynamic internet environments, reputation-based trust is a key issue for service selection which is based on the prediction of services' performance. Typically, the trust and reputation evaluation is based on the feedback of the service quality from all service users. The crucial issue in this evaluation is to detect and deal with false or unfair feedback from dishonest providers and malicious users. In this paper, we first present a dynamic service selection framework then introduce a semantic matching and ranking algorithm to enable the automatic selection. Furthermore, we propose a trust and reputation assessment approach to address trust and reputation of service and service user in various realistic malicious behaviors. Finally, to the best of our knowledge, a set of empirical studies have been conducted to demonstrate that our solution gains good results under collaboration attacks of various malicious behaviors.

User-centric trust and reputation model for personal and trusted service selection

“…Park et al 24 proposed an attack-resilient trust model that uses two vectors to capture the behavior and the trustworthiness of a Web service/service provider based on the analysis of the possible attacks against the trust models. Yan et al 25 proposed a trust and reputation assessment approach to address trust and reputation of service and service consumer in various realistic malicious behaviors, especially dynamic malicious strategy of service consumers with good reputation.…”