Trustworthiness tendency incremental extraction using information gain

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

urbano, j (Autor) Outra; rocha, ap (Autor) FEUP; oliveira, e (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings - 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010

Páginas: 411-414

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010, Toronto, Canada, August 31 - September 3, 2010

Indexação

ISI Web of Knowledge

Scopus - 10 Citações

Classificação Científica

CORDIS: Ciências Físicas > Ciência de computadores

Outras Informações

ID Authenticus: P-007-WHF

DOI: 10.1109/wi-iat.2010.151

Abstract (EN): 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. © 2010 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4