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Secure two-party computations in ANSI C

Authors:

Andreas Holzer,

Stefan Katzenbeisser,

Helmut VeithAuthors Info & Claims

CCS '12: Proceedings of the 2012 ACM conference on Computer and communications security

Pages 772 - 783

https://doi.org/10.1145/2382196.2382278

Published: 16 October 2012 Publication History

Abstract

The practical application of Secure Two-Party Computation is hindered by the difficulty to implement secure computation protocols. While recent work has proposed very simple programming languages which can be used to specify secure computations, it is still difficult for practitioners to use them, and cumbersome to translate existing source code into this format. Similarly, the manual construction of two-party computation protocols, in particular ones based on the approach of garbled circuits, is labor intensive and error-prone.

The central contribution of the current paper is a tool which achieves Secure Two-Party Computation for ANSI C. Our work is based on a combination of model checking techniques and two-party computation based on garbled circuits. Our key insight is a nonstandard use of the bit-precise model checker CBMC which enables us to translate C programs into equivalent Boolean circuits. To this end, we modify the standard CBMC translation from programs into Boolean formulas whose variables correspond to the memory bits manipulated by the program. As CBMC attempts to minimize the size of the formulas, the circuits obtained by our tool chain are also size efficient; to improve the efficiency of the garbled circuit evaluation, we perform optimizations on the circuits. Experimental results with the new tool CBMC-GC demonstrate the practical usefulness of our approach.

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Cited By

Ostrovsky B(2024)Privacy-Preserving DijkstraAdvances in Cryptology – CRYPTO 202410.1007/978-3-031-68400-5_3(74-110)Online publication date: 16-Aug-2024
https://doi.org/10.1007/978-3-031-68400-5_3
Chen EZhu JOzdemir AWahby RBrown FZheng W(2023)Silph: A Framework for Scalable and Accurate Generation of Hybrid MPC Protocols2023 IEEE Symposium on Security and Privacy (SP)10.1109/SP46215.2023.10179397(848-863)Online publication date: May-2023
https://doi.org/10.1109/SP46215.2023.10179397
Luo NAntonopoulos THarris WPiskac RTromer EWang XYin HStavrou ACremers CShi E(2022)Proving UNSAT in Zero KnowledgeProceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security10.1145/3548606.3559373(2203-2217)Online publication date: 7-Nov-2022
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Index Terms

Secure two-party computations in ANSI C
1. Security and privacy
  1. Network security

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Information & Contributors

Information

Published In

cover image ACM Conferences

CCS '12: Proceedings of the 2012 ACM conference on Computer and communications security

October 2012

1088 pages

ISBN:9781450316514

DOI:10.1145/2382196

General Chair:
Ting Yu
North Carolina State University, USA
,
Program Chairs:
George Danezis
Microsoft Research Cambridge, UK
,
Virgil Gligor
Carnegie Mellon University, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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Association for Computing Machinery

New York, NY, United States

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Published: 16 October 2012

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CCS'12: the ACM Conference on Computer and Communications Security

October 16 - 18, 2012

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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Cited By

Ostrovsky B(2024)Privacy-Preserving DijkstraAdvances in Cryptology – CRYPTO 202410.1007/978-3-031-68400-5_3(74-110)Online publication date: 16-Aug-2024
https://doi.org/10.1007/978-3-031-68400-5_3
Chen EZhu JOzdemir AWahby RBrown FZheng W(2023)Silph: A Framework for Scalable and Accurate Generation of Hybrid MPC Protocols2023 IEEE Symposium on Security and Privacy (SP)10.1109/SP46215.2023.10179397(848-863)Online publication date: May-2023
https://doi.org/10.1109/SP46215.2023.10179397
Luo NAntonopoulos THarris WPiskac RTromer EWang XYin HStavrou ACremers CShi E(2022)Proving UNSAT in Zero KnowledgeProceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security10.1145/3548606.3559373(2203-2217)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3548606.3559373
Ozdemir ABrown FWahby R(2022)CirC: Compiler infrastructure for proof systems, software verification, and more2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833782(2248-2266)Online publication date: May-2022
https://doi.org/10.1109/SP46214.2022.9833782
Rathee DBhattacharya ASharma RGupta DChandran NRastogi A(2022)SecFloat: Accurate Floating-Point meets Secure 2-Party Computation2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833697(576-595)Online publication date: May-2022
https://doi.org/10.1109/SP46214.2022.9833697
Fan YSong FChen TZhang LLiu W(2022)PoS4MPC: Automated Security Policy Synthesis for Secure Multi-party ComputationComputer Aided Verification10.1007/978-3-031-13185-1_19(385-406)Online publication date: 7-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-13185-1_19
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Movahedi MCase BHonaker JKnox ALi LLi YSaravanan SSengupta STaubeneck EZhang Yvan Dijk M(2021)Privacy-Preserving Randomized Controlled TrialsProceedings of the 2021 on Cloud Computing Security Workshop10.1145/3474123.3486764(59-69)Online publication date: 15-Nov-2021
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Attrapadung NHanaoaka GMatsuda TMorita HOhara KSchuldt JTeruya TTozawa KKim YKim JVigna GShi E(2021)Oblivious Linear Group Actions and ApplicationsProceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security10.1145/3460120.3484584(630-650)Online publication date: 12-Nov-2021
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Rathee DRathee MKiran Goli RGupta DSharma RChandran NRastogi A(2021)SiRnn: A Math Library for Secure RNN Inference2021 IEEE Symposium on Security and Privacy (SP)10.1109/SP40001.2021.00086(1003-1020)Online publication date: May-2021
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