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A Context-Based Architecture for Reliable Trust Model in Ubiquitous Environments

This paper presents a novel context-based architecture to filter out unfair and deceitful recommendations for trust model in ubiquitous environments. This approach has distinct advantages when dealing with randomly given irresponsible recommendations, unfair recommendations flooding as well as inside job (recommender acted honest gives unfair recommendations on the benefit of himself), which is lack of consideration in the previous works. In addition we originally give the possible scenarios of recommendations given by recommenders in the trust model to analyze the possible threats of trust model in ubiquitous environments. Finally we summarize the previous methods which were used to choose reliable recommendations and make a comparison with our approach