A situation-aware computational trust model for selecting partners
Transactions on computational collective intelligence V
A dynamic agents' behavior model for computational trust
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Extracting trust information from security system of a service
Journal of Network and Computer Applications
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Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustworthiness of agents is not trivial in scenarios where the existing trust evidences are scarce. We propose an online, situation-aware trust model that uses the information gain metric to dynamically extract tendencies of failure of target agents, improving the process of selection of partners in a relevant way. Experimental results presented in this paper show that our proposal outperforms other trust approaches in contextual scenarios.