An Agent-Based Trust Model for Service-Oriented Systems
Trust in Agent Societies
Proceedings of the 2nd international conference on Security of information and networks
A Trust Measurement Mechanism for Service Agents
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A risk-aware resource service decision strategy for global computing
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
An intelligent framework to manage robotic autonomous agents
Expert Systems with Applications: An International Journal
Extracting trust information from security system of a service
Journal of Network and Computer Applications
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The richness of today's electronic communications mirrors physical world: activities such as shopping, business and scientific collaboration are conducted online. Current interactions have become a form of social exchange where participants must deal with complexity, uncertainty and risk. We propose a policy specification approach that combines social sciences and trust theory to facilitate ad-hoc interactions of self-interested parties in open environments. Our socio-cognitive approach allows us to reason about uncertainty and risk involved in a transaction, and automatically calculate the minimum trust threshold needed to mitigate the vulnerabilities. The trust threshold comprises the core of security policies that govern the interactions. The threshold calculation is based on balancing objective and subjective trust components, which together predict that a transaction will result in an acceptable outcome. We propose to apply the Prospect Theory [20] to specify policies that determine a set of acceptable outcomes. We present the trust threshold negotiation primitives.