Efficient Multiparty Protocols Using Generalized Parseval's Identity and the Theta Algebra
Giorgio Sonnino, Alberto Sonnino

TL;DR
This paper introduces FMPC, a novel multiparty computation protocol that leverages a generalized Parseval's identity and Theta-algebra to enable secure, communication-free addition and multiplication of secret-shared values, enhancing efficiency and simplicity.
Contribution
It presents the first generalization of Parseval's identity for Fourier series applicable to multiple inputs and introduces Theta-algebra, enabling communication-free secure computations.
Findings
Supports addition and multiplication of secrets with no communication.
Operates efficiently with most computation done locally by users.
Simplifies multiparty computation compared to traditional circuit-based methods.
Abstract
We propose a protocol able to show publicly addition and multiplication on secretly shared values. To this aim we developed a protocol based on the use of masks and on the FMPC (Fourier Multi-Party Computation). FMPC is a novel multiparty computation protocol of arithmetic circuits based on secret-sharing, capable to compute addition and multiplication of secrets with no communication. We achieve this task by introducing the first generalisation of Parseval's identity for Fourier series applicable to an arbitrary number of inputs and a new algebra referred to as the "Theta-algebra". FMPC operates in a setting where users wish to compute a function over some secret inputs by submitting the computation to a set of nodes, without revealing them those inputs. FMPC offloads most of the computational complexity to the end users, and includes an online phase that mainly consists of each node…
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Taxonomy
TopicsCryptography and Residue Arithmetic · Cryptography and Data Security · Computability, Logic, AI Algorithms
