Secure Arithmetic Computation with No Honest Majority
Yuval Ishai, Manoj Prabhakaran, Amit Sahai

TL;DR
This paper explores the complexity of secure arithmetic computation over finite rings, presenting multiple protocols with different security guarantees and efficiencies, including unconditionally secure and computationally secure solutions, all in the OT-hybrid model.
Contribution
It introduces new protocols for secure arithmetic computation over rings, optimizing for minimal cryptographic calls and communication, with both unconditional and computational security guarantees.
Findings
Unconditionally secure protocol with linear ring operation growth
Computationally secure protocols with ring operation count independent of ring size
Constant amortized calls to homomorphic encryption for prime modulus rings
Abstract
We study the complexity of securely evaluating arithmetic circuits over finite rings. This question is motivated by natural secure computation tasks. Focusing mainly on the case of two-party protocols with security against malicious parties, our main goals are to: (1) only make black-box calls to the ring operations and standard cryptographic primitives, and (2) minimize the number of such black-box calls as well as the communication overhead. We present several solutions which differ in their efficiency, generality, and underlying intractability assumptions. These include: 1. An unconditionally secure protocol in the OT-hybrid model which makes a black-box use of an arbitrary ring , but where the number of ring operations grows linearly with (an upper bound on) . 2. Computationally secure protocols in the OT-hybrid model which make a black-box use of an underlying…
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Taxonomy
TopicsCryptography and Data Security · Complexity and Algorithms in Graphs · Computability, Logic, AI Algorithms
