In this article, we describe an approach for computing the current trust level of individual users towards an online system and present initial validation results from a small-scale experiment. This trust computational model relies upon survey research for identifying the set of key trust attributes and grouping users into four segments of expected behaviors. Each user’s initial trust level is ...

Online market exchanges are usually characterized by uncertainty and risks. Establishing trust and providing trust-building mechanisms are thus crucial for marketplace providers to reduce uncertainty and risks of online transactions. Business models that focus on consumer-to-consumer (C2C) transactions are growing and prospering. For these business models, establishing trust between consumers i...

We present a trust model extension that attempts to relax the assumptions that are currently taken by the majority of existing trust models: (i) proven identity of agents, (ii) repetitive interactions and (iii) similar trusting situations. The proposed approach formalizes the situation (context) and/or trusted agent identity in a multi-dimensional Identity-Context feature space, and attaches th...

Trust has become more and more important in the context of mixed use of longitudinal face-to-face and computer mediated group collaboration using Group Support System tools. Previous research has investigated trust factors in different dimensions. This paper takes the perspective of individual trust and aims to explore the new trust factors and also their detailed second level trust sub-factors...

In this paper, we analyse the sustainability of social networks using STrust, our social trust model. The novelty of the model is that it introduces the concept of engagement trust and combines it with the popularity trust to derive the social trust of the community as well as of individual members in the community. This enables the recommender system to use these different types of trust to re...

Automation has been widely used in interactions with smartphones, computers, and other machinery in recent decades. Studies have shown that inappropriate reliance on automation can lead to unexpected and even catastrophic results. Trust is conceived as an intervening variable between user intention and actions involving reliance on automation. It is generally believed that trust is dynamic and ...

We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. Our algorithm is based on existing network behavior analysis approaches that are embodied into several detection agents. We divide the processing into three distinct phases: anomaly detection, trust model update and collective t...

One of the most important phenomena in E-Commerce is trust customers are unlikely to complete transactions if they do not trust the web site they are using. Much thought has been given to aspects of buyer-seller trust in the area of how much the seller trusts the buyer, or at least how to ensure ‘trust.’ However, to date there has been little headway into the concept of how much buyers trust se...

Several researchers have studied trust in the electronic commerce context. Much of this work is aimed at establishing initial trust, with some recent research on maintaining on-going trust between consumer and vendor. This paper examines a related aspect of trust in the e-Commerce environment, namely trust violations and their subsequent repair. It draws upon research in professional trust rela...