Secure 2PC (Two-Party Computation) is a research problem that abstracts a wide class of realworld applications with privacy concerns.In this problem, two parties want to collaboratively compute an objective function over their private inputs while the inputs are too valuable or sensitive to share with each other.For example, competing insurance companies may be interested in finding out the statistics of their aggregated client database but reluctant to reveal their own databases; drivers on the road may want to query the nearest gas station but hesitate to disclose their GPS coordinates.In this thesis, we constructed a framework for secure 2PC.This framework consists of a two-party interactive protocol and a few cryptographic building blocks.More specifically, the former comes from applying the cut-and-choose technique to the Yao protocol with the support of the latter, which are formally defined to capture the security properties needed in order to tackle the known attacks.We first proved that the main protocol indeed securely computes any single-output objective function even in the presence of malicious adversaries.Next, to demonstrate the power of this framework, we explicitly instantiated the building blocks by using number-theoretic assumptions and the technique of auxiliary circuits.We also presented techniques that allow our framework to handle from any single-output to any two-output objective functions.Finally, we implemented the framework to demonstrate its performance empirically.In particular, this implementation benefits from the embarrassingly parallelizable nature of our framework.
Secure 2PC (Two-Party Computation) is a research problem that abstracts a wide class of realworld applications with privacy concerns.In this problem, two parties want to collaboratively compute an objective function over their private inputs while the inputs are too valuable or sensitive to share with each other.For example, competing insurance companies may be interested in finding out the statistics of their aggregated client database but reluctant to reveal their own databases; drivers on the road may want to query the nearest gas station but hesitate to disclose their GPS coordinates.In this thesis, we constructed a framework for secure 2PC.This framework consists of a two-party interactive protocol and a few cryptographic building blocks.More specifically, the former comes from applying the cut-and-choose technique to the Yao protocol with the support of the latter, which are formally defined to capture the security properties needed in order to tackle the known attacks.We first proved that the main protocol indeed securely computes any single-output objective function even in the presence of malicious adversaries.Next, to demonstrate the power of this framework, we explicitly instantiated the building blocks by using number-theoretic assumptions and the technique of auxiliary circuits.We also presented techniques that allow our framework to handle from any single-output to any two-output objective functions.Finally, we implemented the framework to demonstrate its performance empirically.In particular, this implementation benefits from the embarrassingly parallelizable nature of our framework.
In this thesis we design and implement three approaches to provide efficient Secure Two- Party Computation (2PC) protocols that are secure in presence of malicious adversaries. The field of secure two-party computation enables two mutually distrusting parties, each with their own private input, to run a computation of an arbitrary program. At the end of the computation, nothing about their private input is leaked except for what can be learned from the output of the computation. The seminal work of Yao in 1986 provided the first proof that such a computation is feasible using the so called garbled circuits and given an Oblivious Transfer protocol. In this thesis, we follow Yao’s garbled circuit approach and focus on efficient protocols that are secure against malicious adversaries. We examine three different categories of optimization. In each category, we present a 2PC protocol, prove its security, and implement it as a proof of concept to demonstrate its running time in practice. Non-interactive Secure Computation: In this category, we offer the first implementation of a malicious 2PC protocol that reduces the required rounds of interaction between the two parties to only two rounds (i.e., each party sends only one message to the other party). Mixed Secure Two-Party Computation: In the second category we target big and complex programs and break them into subprograms. Then, we compute each subprogram using the most efficient 2PC protocol that is suitable for it. Finally, we securely connect these subprograms together. The goal is to reduce the overhead of the garbled circuits significantly, which results in a more efficient overall 2PC protocol for programs with specific properties. Secure Computation for Random Access Machine Programs: In the third category, we target programs that require random access to the memory (as opposed to a sequential access). We present the first efficient maliciously-secure protocol for computing such programs.
Abstract. All recent implementations of two-party secure computation protocols require specific complexity assumptions for their correctness and/or efficiency (e.g., DDH, homomorphic encryption, Sigma protocols for specific languages). We propose and implement a Yao-based protocol for secure two-party computation against malicious adversaries that enjoys the following benefits: 1. it assumes the minimal hardness assumption, that is, oblivious transfers; 2. it has constant round complexity; 3. its overhead is linear times (in terms of security parameter) of the Yao protocol’s, which is the best one could hope for by using the circuit-level cut-and-choose technique to achieve malicious security; and 4. it is embarrassingly parallelizable in that its depth complexity is roughly the same as the Yao protocol. To achieve these properties, we use the cut-and-choose paradigm, but solve the main three problems for achieving malicious security (input consistency, selective failure, and output authentication) in a novel and efficient manner. In particular, we propose an efficient witness-indistinguishable proof for output authentication; we suggest the use of an auxiliary 2-universal circuit to ensure the generator’s input consistency; and we advance the performance of the state-of-the-art approach defending the selective failure attack. Not only does our protocol require weaker complexity assumptions, but our implementation of this protocol also demonstrates a several factor improvement over the best prior two-party secure computation protocol which rely on specific number theoretic assumptions.
Protocols for secure two-party computation enable a pair of parties to compute a function of their inputs while preserving security properties such as privacy, correctness and independence of inputs. Recently, a number of protocols have been proposed for the efficient construction of two-party computation secure in the presence of malicious adversaries (where security is proven under the standard simulation-based ideal/real model paradigm for defining security). In this paper, we present a protocol for this task that follows the methodology of using cut-and-choose to boost Yao’s protocol to be secure in the presence of malicious adversaries. Relying on specific assumptions (DDH), we construct a protocol that is significantly more efficient and far simpler than the protocol of Lindell and Pinkas (Eurocrypt 2007) that follows the same methodology. We provide an exact, concrete analysis of the efficiency of our scheme and demonstrate that (at least for not very small circuits) our protocol is more efficient than any other known today. secure two-party computation, malicious adversaries, cut-and-choose, concrete effi-Keywords: ciency An extended abstract of this work appeared at TCC 2011.
Abstract. We show an efficient secure two-party protocol, based on Yao’s construction, which provides security against malicious adversaries. Yao’s original protocol is only secure in the presence of semi-honest adversaries. Security against malicious adversaries can be obtained by applying the compiler of Goldreich, Micali and Wigderson (the “GMW compiler”). However, this approach does not seem to be very practical as it requires using generic zero-knowledge proofs. Our construction is based on applying cut-and-choose techniques to the original circuit and inputs. Security is proved according to the ideal/real simulation paradigm, and the proof is in the standard model (with no random oracle model or common reference string assumptions). The resulting protocol is computationally efficient: the only usage of asymmetric cryptography is for running O(1) oblivious transfers for each input bit (or for each bit of a statistical security parameter, whichever is larger). Our protocol combines techniques from folklore (like cut-and-choose) along with new techniques for efficiently proving consistency of inputs. We remark that a naive implementation of the cut-and-choose technique with Yao’s protocol does not yield a secure protocol. This is the first paper to show how to properly implement these techniques, and to provide a full proof of security. Our protocol can also be interpreted as a constant-round black-box reduction of secure two-party com-putation to oblivious transfer and perfectly-hiding commitments, or a black-box reduction of secure two-party computation to oblivious transfer alone, with a number of rounds which is linear in a sta-tistical security parameter. These two reductions are comparable to Kilian’s reduction, which uses OT alone but incurs a number of rounds which is linear in the depth of the circuit [18]. 1
Applying cut-and-choose techniques to Yao’s garbled circuit protocol has been a promising approach for designing efficient Two-Party Computation (2PC) with malicious and covert security, as is evident from various optimizations and software implementations in the recent years. We revisit the security and efficiency properties of this popular approach and propose alternative constructions and definitions that are more suitable for use in practice. • We design an efficient fully-secure malicious 2PC protocol for two-output functions that only requires O(t|C|) symmetric-key operations (with small constant factors) where |C | is the circuit size and t is a statistical security parameter. This is essentially the optimal complexity for protocols based on cut-and-choose, resolving a main question left open by the previous work on the subject. Our protocol utilizes novel techniques for enforcing garbler’s input consistency and handling twooutput functions that are more efficient than all prior solutions. • Motivated by the goal of eliminating the all-or-nothing nature of 2PC with covert security (that privacy and correctness are fully compromised if the adversary is not caught in the challenge phase), we propose a new security definition for 2PC that strengthens the guarantees provided by the standard
Secure computation involves multiple parties computing a common function while keeping their inputs private, and is a growing field of cryptography due to its potential for maintaining privacy guarantees in real-world applications. However, current secure computation protocols are not yet efficient enough to be used in practice. We argue that this is due to much of the research effort being focused on generality rather than specificity. Namely, current research tends to focus on constructing and improving protocols for the strongest notions of security or for an arbitrary number of parties. However, in real-world deployments, these security notions are often too strong, or the number of parties running a protocol would be smaller. In this thesis we make several steps towards bridging the efficiency gap of secure computation by focusing on constructing efficient protocols for specific real-world settings and security models. In particular, we make the following four contributions: - We show an efficient (when amortized over multiple runs) maliciously secure two-party secure computation (2PC) protocol in the multiple-execution setting, where the same function is computed multiple times by the same pair of parties. - We improve the efficiency of 2PC protocols in the publicly verifiable covert security model, where a party can cheat with some probability but if it gets caught then the honest party obtains a certificate proving that the given party cheated. - We show how to optimize existing 2PC protocols when the function to be computed includes predicate checks on its inputs. - We demonstrate an efficient maliciously secure protocol in the three-party setting.