ARAN - Access to Research at NUI Galway

Trust Models for Community Aware Identity Management

ARAN - Access to Research at NUI Galway

Show simple item record Choi, Hee Chul en Kruk, Sebastian Ryszard en Grzonkowski, Slawomir en Davis, Brian en Breslin, John en 2009-12-10T14:36:45Z en 2009-12-10T14:36:45Z en 2006 en
dc.identifier.citation Hee Chul Choi, Sebastian Ryszard Kruk, Slawomir Grzonkowski, Katarzyna Stankiewicz, Brian Davis, John Breslin "Trust Models for Community Aware Identity Management", Proceedings of the Identity, Reference and Web Workshop, in conjunction with WWW 2006, 2006. en
dc.identifier.uri en
dc.description.abstract The contemporary Web is heading towards its next stage of evolution. From a clump of unorganised information spaces, the Web is becoming more focused on the meaning of information (the Semantic Web) and on community awareness (Web 2.0). One of the key concepts in this new Web is that of social networking, where both sophisticated trust modelling and personal identity/reputation management are required for the creation of social networks and for the exchange of information in these networks. The Web has many instances of sites and services where reputation management and trust form the basis of social and commercial interaction between members of those sites. However, there are few systems that enable users to share their credentials among many websites. It is also important that systems should provide strong security and protect user identities, but all of these features should also be transparent from a user's perspective. In this article we begin by detailing how trust can be modelled within online communities. We present methods for constructing community-aware identity management systems and for computing trust levels between users of a social network, using a novel trust model that takes advantage of both the capabilities of the Semantic Web and of a distributed topology. We also describe how the trust of a particular person relies on the separate social networks that they are members of. Finally, we evaluate our research against current studies in the psychology domain. en
dc.format application/pdf en
dc.language.iso en en
dc.subject Human Factors en
dc.subject Theory en
dc.subject.lcsh Online social networks en
dc.subject.lcsh Human information processing en
dc.subject.lcsh Computer security en
dc.title Trust Models for Community Aware Identity Management en
dc.type Workshop paper en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder eLite en
dc.contributor.funder Knowledge Web en
dc.contributor.funder Science Foundation Ireland en

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