Change search
ReferencesLink to record
Permanent link

Direct link
Learning whom to trust in a privacy-friendly way
Technische Universität Darmstadt.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Privacy and Security Group)
Technische Universität Darmstadt.
2011 (English)In: Proceedings of the 10th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2011), IEEE Press, 2011, 214-225 p.Conference paper (Refereed)
Abstract [en]

The topics of trust and privacy are morerelevant to users of online communities than ever before. Trust models provide excellent means for supporting users in their decision making process. However, those models require an exchange of informationbetween users, which can pose a threat to the users' privacy. In this paper, we present a novel approach fora privacy preserving computation of trust. Besides preserving the privacy of the recommenders by exchanging and aggregating recommendations under encryption, the proposed approach is the first that enables the trusting entities to learn about the trustworthiness oftheir recommenders at the same time. This is achievedby linking the minimum amount of information thatis required for the learning process to the actual recommendation and by using zero-knowledge proofs forassuring the correctness of this additional information.

Place, publisher, year, edition, pages
IEEE Press, 2011. 214-225 p.
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-27802DOI: 10.1109/TrustCom.2011.30ISBN: 978-1-4577-2135-9OAI: oai:DiVA.org:kau-27802DiVA: diva2:628235
Conference
10th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2011)
Available from: 2013-06-13 Created: 2013-06-13 Last updated: 2016-10-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Martucci, Leonardo
By organisation
Department of Mathematics and Computer Science
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 23 hits
ReferencesLink to record
Permanent link

Direct link