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Poster: Framework for Semi-private Function Evaluation with Application to Secure Insurance Rate Calculation

Günther, Daniel ; Kiss, Ágnes ; Scheidel, Lukas ; Schneider, Thomas (2019)
Poster: Framework for Semi-private Function Evaluation with Application to Secure Insurance Rate Calculation.
26th ACM Conference on Computer and Communications Security. London, United Kingdom (11.11.2019-15.11.2019)
doi: 10.1145/3319535.3363251
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Private Function Evaluation (PFE) allows two parties to jointly compute a private function provided by one party on the secret input of the other party. However, in many applications it is not required to hide the whole function, which is called Semi-Private Function Evaluation (SPFE). In this work, we develop a framework for SPFE which allows to split a function into public and private parts. We show the practicability of using SPFE in a real world scenario by developing a car insurance application for computing user-specific tariffs. We evaluate the performance of our SPFE framework on this concrete example which results in a circuit consisting of 377032 AND gates which improves over PFE by a factor of 9x.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2019
Autor(en): Günther, Daniel ; Kiss, Ágnes ; Scheidel, Lukas ; Schneider, Thomas
Art des Eintrags: Bibliographie
Titel: Poster: Framework for Semi-private Function Evaluation with Application to Secure Insurance Rate Calculation
Sprache: Englisch
Publikationsjahr: 6 November 2019
Verlag: ACM
Buchtitel: CCS '19: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
Veranstaltungstitel: 26th ACM Conference on Computer and Communications Security
Veranstaltungsort: London, United Kingdom
Veranstaltungsdatum: 11.11.2019-15.11.2019
DOI: 10.1145/3319535.3363251
Kurzbeschreibung (Abstract):

Private Function Evaluation (PFE) allows two parties to jointly compute a private function provided by one party on the secret input of the other party. However, in many applications it is not required to hide the whole function, which is called Semi-Private Function Evaluation (SPFE). In this work, we develop a framework for SPFE which allows to split a function into public and private parts. We show the practicability of using SPFE in a real world scenario by developing a car insurance application for computing user-specific tariffs. We evaluate the performance of our SPFE framework on this concrete example which results in a circuit consisting of 377032 AND gates which improves over PFE by a factor of 9x.

Freie Schlagworte: Engineering, E4
Zusätzliche Informationen:

Additional comments: Poster/Demo

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Praktische Kryptographie und Privatheit
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen
Hinterlegungsdatum: 18 Sep 2019 07:24
Letzte Änderung: 30 Jul 2024 08:55
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