TU Darmstadt / ULB / TUbiblio

ARM2GC: Succinct Garbled Processor for Secure Computation

Songhori, Ebrahim ; Riazi, M. Sadegh ; Hussain, Siam ; Sadeghi, Ahmad-Reza ; Koushanfar, Farinaz (2019)
ARM2GC: Succinct Garbled Processor for Secure Computation.
Design Automation Conference (DAC), 2019 56th ACM/EDAC/IEEE. Las Vegas, USA (02.06.2019-06.06.2019)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We present ARM2GC, a novel secure computation framework based on Yao’s Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving applications using standard high-level programming languages (e.g., C) and compile them using off-the-shelf ARM compilers (e.g., gcc-arm). The main enabler of this framework is the introduction of SkipGate, an algorithm that dynamically omits the communication and encryption cost of the gates whose outputs are independent of the private data. SkipGate greatly enhances the performance of ARM2GC by omitting costs of the gates associated with the instructions of the compiled binary, which is known by both parties involved in the computation. Our evaluation on benchmark functions demonstrates that ARM2GC not only outperforms the current GC frameworks that support high-level languages, it also achieves efficiency comparable to the best prior solutions based on hardware description languages. Moreover, in contrast to previous high-level frameworks with domain-specific languages and customized compilers, ARM2GC relies on standard ARM compiler which is rigorously verified and supports programs written in the standard syntax.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2019
Autor(en): Songhori, Ebrahim ; Riazi, M. Sadegh ; Hussain, Siam ; Sadeghi, Ahmad-Reza ; Koushanfar, Farinaz
Art des Eintrags: Bibliographie
Titel: ARM2GC: Succinct Garbled Processor for Secure Computation
Sprache: Englisch
Publikationsjahr: 2 Juni 2019
Ort: Las Vegas, USA
Veranstaltungstitel: Design Automation Conference (DAC), 2019 56th ACM/EDAC/IEEE
Veranstaltungsort: Las Vegas, USA
Veranstaltungsdatum: 02.06.2019-06.06.2019
Kurzbeschreibung (Abstract):

We present ARM2GC, a novel secure computation framework based on Yao’s Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving applications using standard high-level programming languages (e.g., C) and compile them using off-the-shelf ARM compilers (e.g., gcc-arm). The main enabler of this framework is the introduction of SkipGate, an algorithm that dynamically omits the communication and encryption cost of the gates whose outputs are independent of the private data. SkipGate greatly enhances the performance of ARM2GC by omitting costs of the gates associated with the instructions of the compiled binary, which is known by both parties involved in the computation. Our evaluation on benchmark functions demonstrates that ARM2GC not only outperforms the current GC frameworks that support high-level languages, it also achieves efficiency comparable to the best prior solutions based on hardware description languages. Moreover, in contrast to previous high-level frameworks with domain-specific languages and customized compilers, ARM2GC relies on standard ARM compiler which is rigorously verified and supports programs written in the standard syntax.

Freie Schlagworte: Primitives; P3
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Systemsicherheit
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen
Hinterlegungsdatum: 06 Feb 2019 10:07
Letzte Änderung: 12 Jul 2019 07:07
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen