Reputation systems, which rank agents based on feedback from past interactions, play a crucial role in aggregating and sharing trust information online. Reputation systems are used to find authoritative web sites and ensure socially beneficial behavior on auction sites. The main problem faced by reputation system researchers is a lack of good metrics for comparison and evaluation. This thesis d...

Reputation systems provide mechanisms through which multiple parties can quantify the trust between one another. These systems seek to generate an accurate assessment in the face of unprecedented community size, while providing anonymity and resilience to malicious attacks. We focus on attacks and defense mechanisms in reputation systems. We present an analysis framework that allows for general...

In this paper, we propose a reputation management scheme for partially decentralized peer-to-peer systems. The reputation scheme helps to build trust among peers based on their past experiences and feedback from other peers. Two selection advisor algorithms are proposed for helping peers to select the most trustworthy peer to download from. The proposed algorithms can detect malicious peers sen...

Online reputation management (ORM) has been considered as a significant tool of internet marketing. The purpose of this paper is to construct a decision model for evaluating performances and improving professional services of marketing. To investigate the interrelationship and influential weights among criteria, this study uses a hybrid MCDM model including decision-making trial and evaluation ...

With the growing importance of online markets and communities, users increasingly have to interact with unknown people. When choosing their interaction partners, they often lack direct experience and are forced to rely on ratings provided by others who are often unknown themselves. A number of reputation systems have been developed with the aim of improving the credibility of inferred reputatio...