Elimination of Subjectivity from Trust Recommendation

In many distributed applications, a party who wishes to make a transaction requires that it has a certain level of trust in the other party. It is frequently the case that the parties are unknown to each other and thus share no pre-existing trust. Trust-based systems enable users to establish trust in unknown users through trust recommendation from known users. For example, Bob may choose to trust an unknown user Carol when he receives a recommendation from his friend Alice that Carol's trustworthiness is 0.8 on the interval [0,1]. In this paper we highlight the problem that when a trust value is recommended by one user to another it may lose its real meaning due to subjectivity. Bob may regard 0.8 as a very high value of trust but it is possible that Alice perceived this same value as only average. We present a solution for the elimination of subjectivity from trust recommendation. We run experiments to compare our subjectivity-eliminated trust recommendation method with the unmo...

• Type: Journal
• Year: 2009
• Where: IFIPTM
• Authors: Omar Hasan, Lionel Brunie, Jean-Marc Pierson, Elisa Bertino
• Keywords: IFIPTM 2009, Management, Trust, Trust Recommendation, Unknown User