Name
Abstract | ||
|---|---|---|
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. T rust-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 | 10.1007/978-3-642-02056-8_5 | International Federation for Information Processing |
Keywords | Field | DocType |
distributed application,web of trust,random graph | Express trust,Adaptive user interface,Internet privacy,Reputation system,Trust anchor,Computer security,Trustworthiness,Subjectivity,Computer science,Database transaction,Web of trust | Conference |
Volume | ISSN | Citations |
300 | 1571-5736 | 9 |
PageRank | References | Authors |
0.57 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Hasan | 1 | 120 | 13.39 |
| Lionel Brunie | 2 | 686 | 126.62 |
| Jean-Marc Pierson | 3 | 623 | 59.06 |
| Elisa Bertino | 4 | 14025 | 2128.50 |