Paper Info
Title
L'Elimination de la subjectivité dans la recommandation de confiance
Abstract
In ubiquitous environments, a party who wishes to make a transaction often 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 preexisting 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 unmodified method. In a random graph based web of trust with high subjectivity, it is observed that the novel method can give better results up to 95% of the time.
Year
DOI
Venue
2009
10.1145/1739268.1739270
UbiMob
Keywords
Field
DocType
trust value,novel method,friend alice,subjectivity-eliminated trust recommendation method,high subjectivity,high value,preexisting trust,unknown user,unmodified method,trust recommendation,security,random graph,distributed applications,human factors,algorithms,social networks,subjectivity,web of trust,social network,trust
Express trust,Internet privacy,World Wide Web,Social network,Random graph,Trust anchor,Computer science,Subjectivity,Computational trust,Database transaction,Web of trust
Conference
Citations 
PageRank 
References 
0
0.34
12
Authors
4
Name
Order
Citations
PageRank
Omar Hasan112013.39
Lionel Brunie2686126.62
Jean-Marc Pierson362359.06
Elisa Bertino4140252128.50