Formalising theories of trust for authentication protocols
Information Systems Frontiers
Modal tableaux for verifying stream authentication protocols
Autonomous Agents and Multi-Agent Systems
Expert Systems with Applications: An International Journal
Modelling autonomic and dynamic trust decision-making mechanism for large-scale open environments
International Journal of Computer Applications in Technology
Proceedings of the 2nd international conference on Security of information and networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Analysis of authentication protocols in agent-based systems using labeled tableaux
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
A comprehensive and adaptive trust model for large-scale P2P networks
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Application of pricing and trust mechanisms in grid resource allocation
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Extracting trust information from security system of a service
Journal of Network and Computer Applications
Context-sensitive trust computing in distributed environments
Knowledge-Based Systems
Journal of Network and Computer Applications
Towards modeling trust based decisions: a game theoretic approach
ESORICS'07 Proceedings of the 12th European conference on Research in Computer Security
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A theory of trust for a given system consists of a set of rules that describe trust of agents in the system. In a certain logical framework, the theory is generally established based on the initial trust of agents in the security mechanisms of the system. Such a theory provides a foundation for reasoning about agent beliefs as well as security properties that the system may satisfy. However, trust changes dynamically. When agents lose their trust or gain new trust in a dynamic environment, the theory established based on the initial trust of agents in the system must be revised, otherwise it can no longer be used for any security purpose. This paper investigates the factors influencing trust of agents and discusses how to revise theories of trust in dynamic environments. A methodology for revising and managing theories of trust for multiagent systems is proposed. This methodology includes a method for modeling trust changes, a method for expressing theory changes, and a technique for obtaining a new theory based on a given trust change. The proposed approach is very general and can be applied to obtain an evolving theory of trust for agent-based systems