In peer-to-peer networks, free riding is a major problem. Reputation management systems can be used to overcome this problem. Reputation estimation methods generally do not consider the uncertainties in the inputs. We propose a reputation estimation method using BLUE (Best Linear Unbiased estimator) estimator that consider uncertainties in the input variables.

Whether and how to disclose software vulnerability information has been debated intensely. An optimal disclosure policy should balance the tradeoff between its impact on software vendors' incentives and the potential risks imposed on customers. Previous research on software vulnerability primarily focused on the timing aspect of the disclosure policy. In this paper, we investigate another dimen...

In online auction marketplaces, item misrepresentation is one of the most common forms of seller deception. The impact of coarse-grained incentive manipulations on deceptive seller behavior in online markets had not been studied. We demonstrate experimental control over seller honesty, quantify this behavior relative to ground truth, and link it to personality. We recruited 62 experienced onlin...

In our increasingly interconnected world, the need for reputation is becoming more important as larger numbers of people and services interact online. Reputation is a tool to facilitate trust between entities, as it increases the efficiency and effectiveness of online services and communities. As most entities will not have any direct experience of other entities, they must increasingly come to...

In this paper, we present a model for designing buying agents in electronic marketplaces that adapt by adjusting decisions about which sellers to select for business, based on reputation ratings provided by other buying agents in the marketplace (known as indirect reputation information). The focus of our research is a method for effectively representing and employing this indirect reputation i...

Online Reputation management systems compute, manage, and provide reputation about entities which act on the Web. An important research question is how such a reputation management system can be build for the Semantic Web. In this paper we contribute with a reputation management system based on distributed rule agents, which uses Semantic Web rules for implementing the reputation management fun...

In this paper, we investigate how dynamic properties of reputation can influence the quality of users ranking. Reputation systems should be based on rules that can guarantee a high level of trust and help identifying unreliable units. To understand the effectiveness of dynamic properties in the evaluation of reputation, we propose our own model (DIB-RM) that is based on three factors: forgettin...

In recent years, we have witnessed an increasing use of trust and reputation systems in different areas of ICT. The idea at the base of trust and reputation systems is of letting users to rate the provided services after each interaction. Other users may use aggregate ratings to compute reputation scores for a given party. The computed reputation scores are a collective measure of parties trust...

Reputation mechanisms for distributed e-Communities are vital tools for facilitating trust decisions regarding transactions between entities. Motivated by the current challenges in the area of P2P reputation systems regarding their desgign, credibilty enhancement and objective evaluation, in this thesis we worked towards (1) creating a framework for the development and evaluation of secure repu...