Zur Kurzanzeige

dc.contributor.authorDemmler, Daniel
dc.date.accessioned2022-11-22T09:48:32Z
dc.date.available2022-11-22T09:48:32Z
dc.date.issued2022
dc.identifier.issn2196-7032
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39752
dc.description.abstractProtecting users’ privacy in digital systems becomes more complex and challenging over time, as the amount of stored and exchanged data grows steadily and systems become increasingly involved and connected. Two techniques that try to approach this issue are the privacy-preserving protocols secure multi-party computation (MPC) and private information retrieval (PIR), which aim to enable practical computation while simultaneously keeping sensitive data private. In the dissertation [Daniel Demmler. “Towards Practical Privacy-Preserving Protocols”. Diss. Darmstadt: Technische Universität, 2018. url: http://tuprints.ulb.tu-darmstadt.de/8605/], summarized in this article, we present results showing how real-world applications can be executed in a privacy-preserving way. This is not only desired by users of such applications, but since 2018 also based on a strong legal foundation with the GDPR in the European Union, that enforces privacy protection of user data by design.en
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofit - Information Technology: Vol. 64, No. 1-2
dc.subjectSecure Multi-Party Computation
dc.subjectPrivate Information Retrieval
dc.subjectApplied Cryptography
dc.subjectPrivacy Enhancing Technologies
dc.titleTowards practical privacy-preserving protocolsen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages49-53
mci.conference.sessiontitleDistinguished Dissertations
dc.identifier.doi10.1515/itit-2022-0005


Dateien zu dieser Ressource

DateienGrößeFormatAnzeige

Zu diesem Dokument gibt es keine Dateien.

Zur Kurzanzeige