the increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. through the development of semantic web, one major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. this raises the question of how much credence to give each resource. each user knows the trustworthiness of ...

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

The current Internet is based on a fundamental assumption of reliability and good intent among actors in the network. Unfortunately, unreliable and malicious behaviour is becoming a major obstacle for Internet communication. In order to improve the trustworthiness and reliability of the network infrastructure, we propose a novel trust model to be incorporated into BGP routing. In our approach, ...

Trust and reputation have been proposed in the Multiagent Systems area as a way to assist agents to select good partners in order to improve interactions between them. As well as trust, agent emotions have been studied with the aim of making the actions and reactions of the agents more like those of humans. In this paper, we present a trust model based on emotions. It is a hybrid mathematical a...

Trust models that rely on recommendation trusts are vulnerable to badmouthing and ballot-stuffing attacks. To cope with these attacks, existing trust models employ different trust aggregation techniques to process the recommendation trusts and combine them with the direct trust values to form a combined trust value. However, these trust models are biased as recommendation trusts that deviate to...