Abstract
We present a new protocol for maliciously secure two-party computation based on cut-and-choose of garbled circuits using the recent idea of “forge-and-loose”, which eliminates around a factor 3 of garbled circuits that needs to be constructed and evaluated. Our protocol introduces a new way to realize the “forge-and-loose” approach, which avoids an auxiliary secure two-party computation protocol, does not rely on any number theoretic assumptions and parallelizes well in a same instruction, multiple data (SIMD) framework.
With this approach we prove our protocol universally composable-secure against a malicious adversary assuming access to oblivious transfer, commitment and coin-tossing functionalities in the random oracle model.
Finally, we construct, and benchmark, a SIMD implementation of this protocol using a GPU as a massive SIMD device. The findings compare favorably with all previous implementations of maliciously secure, two-party computation.
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Frederiksen, T.K., Jakobsen, T.P., Nielsen, J.B. (2014). Faster Maliciously Secure Two-Party Computation Using the GPU. In: Abdalla, M., De Prisco, R. (eds) Security and Cryptography for Networks. SCN 2014. Lecture Notes in Computer Science, vol 8642. Springer, Cham. https://doi.org/10.1007/978-3-319-10879-7_21
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DOI: https://doi.org/10.1007/978-3-319-10879-7_21
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