accurate than other techniques when the user's opinions about a film are divergent from the average. We discuss this technique both as an application of social network analysis, as well as how it suggests other analyses that can be performed to help improve collaborative filtering algorithms of all

use a case study of a suspected phishing scam in South Africa to examine the methods an advanced user may use to verify the authenticity of a web site and the information it published. From this case study, we see that a website which is legitimate may easily appear to be a scam, because of the manner

Online social networks (OSNs) are immensely popular, with some claiming over 200 million users [10]. Users share private content, such as personal information or photographs, using OSN applications. Users must trust the OSN service to protect personal information even as the OSN provider benefits

Automated trust negotiation is an approach to establishing trust between strangers through iterative disclosure of digital credentials. In automated trust negotiation, access control policies play a key role in protecting resources from unauthorized access. Unlike in traditional trust management

phenomenons, such as the dissemination of false rumors and confirmed news. We analyze how this information propagated through the Twitter network, with the purpose of assessing the reliability of Twitter as an information source under extreme circumstances. Our analysis shows that the propagation of tweets

Abstract. In many systems, the determination of trust is reduced to reputation estimation. However, reputation is just one way of determin-ing trust. The estimation of trust can be tackled from a variety of other perspectives. In this chapter, we model trust relying on user reputation, user

How do we decide if it is safe to run a given piece of software on our machine? Software used to arrive in shrink-wrapped packages from known vendors. But increasingly, software of unknown provenance arrives over the internet as applets or agents. Running such software risks serious harm

behaviour, whereby agents generalise their experiences with known partners as stereotypes and apply these when evaluating new and unknown partners. We show how this approach can complement existing state of the art trust models, and enhance the confidence in the evaluations that can be made about trustees

. Access to knowledge provenance may facilitate users to make informed decisions about the quality of maps. In this paper, we propose TrustMap, a new approach for enhancing maps with trust recommendations. For a given map, TrustMap can generate recommendations from the knowledge provenance and a network

. Access to knowledge provenance may facilitate users to make informed decisions about the quality of maps. In this pa-per, we propose TrustMap, a new approach for enhancing maps with trust recommendations. For a given map, TrustMap can generate rec-ommendations from the knowledge provenance and a network