Paper 2025/453

Verifiable Secret Sharing Based on Fully Batchable Polynomial Commitment for Privacy-Preserving Distributed Computation

Abstract

Privacy-preserving distributed computation enables a resource-limited client to securely delegate computations on sensitive data to multiple servers by distributing shares of the data. In such systems, verifiable secret sharing (VSS) is a fundamental component, ensuring secure data distribution and directly impacting the overall performance. The most practical approach to construct VSS is through polynomial commitment (PC), with two main research directions to improve the VSS efficiency. The first focuses on improving the dealer time by designing PC that supports batch evaluation, i.e., generating multiple evaluation$$proof pairs in one shot. The second aims to reduce the broadcast cost by designing PC that supports batch opening, i.e., producing a compact proof for multiple evaluations. Recently, Zhang et al. (Usenix Security 2022) proposed a transparent PC that supports batch evaluation and obtained a transparent VSS with optimal dealer time. However, their scheme does not support batch opening, leading to high broadcast costs in VSS. To the best of our knowledge, no transparent PC currently supports both batch evaluation and batch opening, thus limiting the performance of existing VSS schemes. In this paper, we propose a transparent fully batchable polynomial commitment (TFB-PC), that simultaneously supports batch evaluation and batch opening. Leveraging TFB-PC, we present a VSS scheme with optimal complexity: $$ dealer time, $$ participant time and $$ communication cost. Furthermore, we implement our VSS scheme and compare its performance with Zhang et al.’s VSS (the naive approach). Results show that our scheme achieves $$ reduction in communication cost and a $$ speed up in participant time for $$-$$ parties.