Two-Round MPC without Round Collapsing Revisited - Towards Efficient Malicious Protocols
Two-Round MPC without Round Collapsing Revisited - Towards Efficient Malicious Protocols
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DOI:
10.1007/978-3-031-15802-5_13
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Huijia Lin;Tianren Liu
中科院分区:
文献类型:
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作者:
Huijia Lin;Tianren Liu
Recent works have made exciting progress on the construction of round optimal,two-round, Multi-Party Computation (MPC) protocols. However, most proposals so far are still complex and inefficient. In this work, we improve the simplicity and efficiency of two-round MPC in the setting with dishonest majority and malicious security. Our protocols make use of the Random Oracle () and a generalization of the Oblivious Linear Evaluation () correlated randomness, called tensor, over a finite field, and achieve the following:MPC for Boolean Circuits:Our two-round, maliciously secure MPC protocols for computing Boolean circuits, has overall (asymptotic) computational cost, whereSis the size of the circuit computed,nthe number of parties, anda field of characteristic two. The protocols also make black-box calls to a Pseudo-Random Function (PRF).MPC for Arithmetic Branching Programs (ABPs):Our two-round, information theoretically and maliciously secure protocols for computing ABPs over a general fieldhas overall computational cost, whereSis the size of ABP computed.Both protocols achieve security levels inverse proportional to the size of the field.Our construction is built upon the simple two-round MPC protocols of [Lin-Liu-Wee TCC’20], which are only semi-honest secure. Our main technical contribution lies in ensuring malicious security using simple and lightweight checks, which incur only a constant overhead over the complexity of the protocols by Lin, Liu, and Wee. In particular, in the case of computing Boolean circuits, our malicious MPC protocols have the same complexity (up to a constant overhead) as (insecurely) computing Yao’s garbled circuits in a distributed fashion.Finally, as an additional contribution, we show how to efficiently generate tensorcorrelation in fields of characteristic two using OT.