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Lecture notes in computer science

Constant-Overhead Secure Computation of Boolean Circuits using Preprocessing

Ivan Damgård, Sarah Zakarias

Published Jan 1, 2013• 96 citations
Publisher

Abstract

We present a protocol for securely computing a Boolean circuit C in presence of a dishonest and malicious majority. The protocol is unconditionally secure, assuming a preprocessing functionality that is not given the inputs. For a large number of players the work for each player is the same as computing the circuit in the clear, up to a constant factor. Our protocol is the first to obtain these properties for Boolean circuits. On the technical side, we develop new homomorphic authentication schemes based on asymptotically good codes with an additional multiplication property. We also show a new algorithm for verifying the product of Boolean matrices in quadratic time with exponentially small error probability, where previous methods only achieved constant error. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

DOI
10.1007/978-3-642-36594-2_35

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We present a protocol for securely computing a Boolean circuit C in presence of a dishonest and malicious majority. The protocol is unconditionally secure, assuming a preprocessing functionality that is not given the inputs. For a large number of players the work for each player is the same as computing the circuit in the clear, up to a constant factor. Our protocol is the first to obtain these properties for Boolean circuits. On the technical side, we develop new homomorphic authentication schemes based on asymptotically good codes with an additional multiplication property. We also show a new algorithm for verifying the product of Boolean matrices in quadratic time with exponentially small error probability, where previous methods only achieved constant error. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
We propose a general multiparty computation protocol secure against an active adversary corrupting up to n−1n-1n−1 of the n players. The protocol may be used to compute securely arithmetic circuits over any finite field Fpk\mathbb {F}_{p^k}Fpk​ . Our protocol consists of a preprocessing phase that is both independent of the function to be computed and of the inputs, and a much more efficient online phase where the actual computation takes place. The online phase is unconditionally secure and has total computational (and communication) complexity linear in n, the number of players, where earlier work was quadratic in n. Moreover, the work done by each player is only a small constant factor larger than what one would need to compute the circuit in the clear. We show this is optimal for computation in large fields. In practice, for 3 players, a secure 64-bit multiplication can be done in 0.05 ms. Our preprocessing is based on a somewhat homomorphic cryptosystem. We extend a scheme by Brakerski et al., so that we can perform distributed decryption and handle many values in parallel in one ciphertext. The computational complexity of our preprocessing phase is dominated by the public-key operations, we need O(n2/s)O(n^2/s)O(n2/s) operations per secure multiplication where s is a parameter that increases with the security parameter of the cryptosystem. Earlier work in this model needed Ω(n2)\varOmega (n^2)Ω(n2) operations. In practice, the preprocessing prepares a secure 64-bit multiplication for 3 players in about 13 ms.
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.
Through tremendous efforts, the communication cost of secure multi-party computation (MPC) in the honest-majority setting has been significantly improved. In particular, the state-of-the-art honest-majority MPC protocol by Escudero et al. (CCS'22) takes 12 field elements in total per multiplication gate for arithmetic circuits in the online phase. However, it still requires12log(5n/412 log (5n/412log(5n/4) bits of online communication per AND gate for Boolean circuits. That is, for Boolean circuits, no MPC protocol with constant online communication is known. In this paper, we present an unconditionally secure MPC protocol for Boolean circuits in the honest-majority setting, which has constant online communication complexity and the offline communication complexity linear to the numbernnnof parties. We first describe the semi-honest MPC protocol and then show how to extend it to achieve malicious security, where the maliciously secure protocol has the same communication cost as the semi-honest protocol. In particular, our protocol achieves the amortized communication cost 36 bits per AND gate in the online phase and 30n + 24 bits per AND gate in the offline phase.
We propose a new, constant-round protocol for multi-party computation of boolean circuits that is secure against an arbitrary number of malicious corruptions. At a high level, we extend and generalize recent work of Wang et al. in the two-party setting. Namely, we design an efficient preprocessing phase that allows the parties to generate authenticated information; we then show how to use this information to distributively construct a single "authenticated" garbled circuit that is evaluated by one party.
Recent developments in Multi-party Computation (MPC) has resulted in very efficient protocols for dishonest majority in the preprocessing model. In particular, two very promising protocols for Boolean circuits have been proposed by Nielsen et al. (nicknamed TinyOT) and by Damgård and Zakarias (nicknamed MiniMac). While TinyOT has already been implemented, we present in this paper the first implementation of MiniMac, using the same platform as the existing TinyOT implementation. We also suggest several improvements of MiniMac, both on the protocol design and implementation level. In particular, we suggest a modification of MiniMac that achieves increased parallelism at no extra communication cost. This gives an asymptotic improvement of the original protocol as well as an 8-fold speed-up of our implementation. We compare the resulting protocol to TinyOT for the case of secure computation in parallel of a large number of AES encryptions and find that it performs better than results reported so far on TinyOT, on the same hardware.
Secure computation is a fundamental problem in modern cryptography in which multiple parties join to compute a function of their private inputs without revealing anything beyond the output of the function. A series of very strong results in the 1980’s demonstrated that any polynomial-time function can be computed while guaranteeing essentially every desired security property. The only exception is the fairness property, which states that no player should receive their output from the computation unless all players receive their output. While it was shown that fairness can be achieved whenever a majority of players are honest, it was also shown that fairness is impossible to achieve in general when half or more of the players are dishonest. Indeed, it was proven that even boolean XOR cannot be computed fairly by two parties. The fairness property is both natural and important, and as such it was one of the first questions addressed in modern cryptography (in the context of signature exchange). One contribution of this thesis is to survey the many approaches that have been used to guarantee different notions of partial fairness. We then revisit the topic of fairness within a modern security framework for secure computation. We demonstrate that, despite the strong impossibility result mentioned above, certain interesting functions can be computed fairly, even when half (or more) of the parties are malicious. We also provide a new notion of partial fairness, demonstrate feasibility of achieving this notion for a large class of functions, and show impossibility for certain functions outside this class. We consider fairness in the presence of rational adversaries, and, finally, we study the difficulty of achieving fairness by exploring how much external help is necessary for providing fair secure computation.