Several reputation models have been introduced to deal with the problem of biased reputation providers. Most of these models discount or discard biased information received from the reputation providers, and most of them are not appropriate when a large population of information providers are biased or dishonest. In this paper, we present a probabilistic approach for reputation modeling, the Pr...

Interactions between entities unknown to each other are inevitable in the ambient intelligence vision of service access anytime, anywhere. Trust management through a reputation mechanism to facilitate such interactions is recognized as a vital part of mobile ad hoc networks, which features lack of infrastructure, autonomy, mobility and resource scarcity of composing light-weight terminals. Howe...

Reputation assessment is particularly needed in peer-to-peer systems because peers can have conflicting interests and their autonomy is amplified by the inherent decentralization of the environment. However, the lack of centralization makes it more difficult to perform reputation assessment. Existing reputation systems tackle the reputation assessment process in an ad-hoc manner. In this thesis...

With the improvement of China's Internet penetration and a shift in consumption consciousness, user scale and market size of online trading reached a new height, and C2C e-commerce has the most rapid development. As the seller and buyer of online transaction in a state of isolation in time and space, there is serious information asymmetry. So the reputation problems that exist in the online tra...

Q&A systems are becoming a vital source of knowledge in many different domains. In some cases, they are also associated with services which provide employers with important information regarding the expertise of its potential employees. Therefore, the reputation earned in such communities can be associated with better job opportunities, and its significance is increasing. However, in a communit...

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...