An indirect security trust method based on credibility evaluation

In existing trust models, the recommending services often provide a single trust value (computed by them during their interaction with the unknown entity in question) as a recommendation. However, a single trust value recommended by a recommender represents its subjective opinion about the unknown entity and cannot depict the real trust level very well under certain circumstances. To solve this problem, a fuzzy based credibility evaluation method for indirect trust computation is proposed. The calculation method cannot just incorporate a mechanism to determine the weight each valid recommendation should carry on aggregation process, but also distinguish between honest and dishonest recommendations in the meantime.