Recent Advances in Practical Secure Multi-Party Computation

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Practical and Deployable Secure Multi-Party Computation

Practical and Deployable Secure Multi-Party Computation

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Unconditionally Secure Multi-Party Computation

The most general type of multi-party computation involves n participants. Participant i supplies private data xi and obtains an output function fi(x1, . . . , xn). The computation is said to be unconditionally secure if each participant can verify, with probability arbitrarily close to one, that every other participant obtains arbitrarily little information beyond their agreed output fi. We giv...

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Heterogeneous Secure Multi-Party Computation

The increased processing power and storage capacity of inhome and mobile computing devices has motivated their inclusion in distributed and cloud computing systems. The resulting diverse environment creates a strong requirement for secure computations, which can be realised by Secure Multi-Party Computation (MPC). However, MPC most commonly assumes that parties performing the secure computation...

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Efficient Secure Multi-party Computation

Since the introduction of secure multi-party computation, all proposed protocols that provide security against cheating players suffer from very high communication complexities. The most efficient unconditionally secure protocols among n players, tolerating cheating by up to t < n/3 of them, require communicating O(n6) field elements for each multiplication of two elements, even if only one pla...

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Secure Two-Party Computation Is Practical

Secure multi-party computation has been considered by the cryptographic community for a number of years. Until recently it has been a purely theoretical area, with few implementations with which to test various ideas. This has led to a number of optimisations being proposed which are quite restricted in their application. In this paper we describe an implementation of the two-party case, using ...

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ژورنال

عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

سال: 2020

ISSN: 0916-8508,1745-1337

DOI: 10.1587/transfun.2019dmi0001