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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