Abstract
Previous studies have been suggestive of the fact that reputation ratings may be provided in a strategic manner for reasons of reciprocation and retaliation, and therefore may not properly reflect the trustworthiness of rated parties. It thus appears that supporting privacy of feedback providers could improve the quality of their ratings. We argue that supporting perfect privacy in decentralized reputation systems is impossible, but as an alternative present three probabilistic schemes that support partial privacy. On the basis of these schemes, we offer three protocols that allow ratings to be privately provided with high probability in decentralized additive reputation systems.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Editors | Stefan Poslad, Theo Dimitrakos, Colli Franzone Colli Franzone |
| Publisher | Springer Verlag |
| Pages | 108-119 |
| Number of pages | 12 |
| ISBN (Print) | 3540213120, 9783540213123 |
| DOIs | |
| State | Published - 2004 |
| Event | 2nd International Conference on Trust Management, iTrust 2004 - Oxford, United Kingdom Duration: 29 Mar 2004 → 1 Apr 2004 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2995 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 2nd International Conference on Trust Management, iTrust 2004 |
|---|---|
| Country/Territory | United Kingdom |
| City | Oxford |
| Period | 29/03/04 → 1/04/04 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2004.