The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer
Open accessAbstract
We consider the task of secure multi-party computation of arithmetic circuits over a finite field. Unlike Boolean circuits, arithmetic circuits allow natural computations on integers to be expressed easily and efficiently. In the strongest setting of malicious security with a dishonest majority --- where any number of parties may deviate arbitrarily from the protocol --- most existing protocols require expensive public-key cryptography for each multiplication in the preprocessing stage of the protocol, which leads to a high total cost. We present a new protocol that overcomes this limitation by using oblivious transfer to perform secure multiplications in general finite fields with reduced communication and computation. Our protocol is based on an arithmetic view of oblivious transfer, with careful consistency checks and other techniques to obtain malicious security at a cost of less than 6 times that of semi-honest security. We describe a highly optimized implementation together with experimental results for up to five parties. By making extensive use of parallelism and SSE instructions, we improve upon previous runtimes for MPC over arithmetic circuits by more than 200 times.
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Cites
How to generate and exchange secrets
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Universally composable security: a new paradigm for cryptographic protocols
Canetti, R. (2001) · Proceedings 42nd IEEE Symposium on Foundations of Computer Science · doi:10.1109/sfcs.2001.959888 · Cited by 3,309
Multiparty Computation from Somewhat Homomorphic Encryption
Damgård, I., Pastro, V., Smart, N., & Zakarias, S. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-32009-5_38 · Cited by 1,331
Efficient Multiparty Protocols Using Circuit Randomization
Beaver, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-46766-1_34 · Cited by 893
ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation
Demmler, D., Schneider, T., & Zohner, M. (2015) · Proceedings 2015 Network and Distributed System Security Symposium · doi:10.14722/ndss.2015.23113 · Cited by 827
Extending Oblivious Transfers Efficiently
Ishai, Y., Kilian, J., Nissim, K., & Petrank, E. (2003) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-45146-4_9 · Cited by 746
A Framework for Efficient and Composable Oblivious Transfer
Peikert, C., Vaikuntanathan, V., & Waters, B. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-85174-5_31 · Cited by 678
Practical Covertly Secure MPC for Dishonest Majority – Or: Breaking the SPDZ Limits
Damgård, I., Keller, M., Larraia, E., Pastro, V., Scholl, P., & Smart, N. P. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-40203-6_1 · Cited by 458
Self-citationA New Approach to Practical Active-Secure Two-Party Computation
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Cited by
Survey on Fully Homomorphic Encryption, Theory, and Applications
Marcolla, C., Sucasas, V., Manzano, M., Bassoli, R., Fitzek, F. H. P., & Aaraj, N. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3205665 · Cited by 323
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Knott, B., Venkataraman, S., Hannun, A., Sengupta, S., Ibrahim, M., & van der Maaten, L. (2021) · arXiv · doi:10.48550/arxiv.2109.00984 · Cited by 257
Privacy-preserving distributed linear regression on high-dimensional data
Gascón, A., Schoppmann, P., Balle, B., Raykova, M., Doerner, J., Zahur, S., & Evans, D. (2017) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2017-0053 · Cited by 193
Tkachenko, O., Weinert, C., Schneider, T., & Hamacher, K. (2018) · Proceedings of the 2018 on Asia Conference on Computer and Communications Security · doi:10.1145/3196494.3196541 · Cited by 27
Metadata
- Authors
- Keller, M., Orsini, E., & Scholl, P.
- Venue
- Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
- Publisher
- ACM
- Published
- 2016-10-24
- Volume
- 2016
- Pages
- 830-842
- OpenAlex
- W2539273492
- Cited by
- 411
- References
- 32
- FWCI
- 16.70
- Type
- conference paper
- Language
- en
- Open access
- green
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- Keller, M., Orsini, E., & Scholl, P. (2016). MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer. Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/2976749.2978357
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
