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Main Authors: Wang, Wenhao, Zhou, Lulu, Yaish, Aviv, Zhang, Fan, Fisch, Ben, Livshits, Benjamin
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2404.06495
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author Wang, Wenhao
Zhou, Lulu
Yaish, Aviv
Zhang, Fan
Fisch, Ben
Livshits, Benjamin
author_facet Wang, Wenhao
Zhou, Lulu
Yaish, Aviv
Zhang, Fan
Fisch, Ben
Livshits, Benjamin
contents Zero-knowledge proofs (ZKPs) are computationally demanding to generate. Their importance for applications like ZK-Rollups has prompted some to outsource ZKP generation to a market of specialized provers. However, existing market designs either do not fit the ZKP setting or lack formal description and analysis. In this work, we propose a formal ZKP market model that captures the interactions between users submitting ZKP tasks and provers competing to generate proofs. Building on this model, we introduce $Prooφ$, an auction-based ZKP market mechanism. We prove that $Prooφ$ is incentive compatible for users and provers, and budget balanced. We augment $Prooφ$ with system-level designs to address the practical challenges of our setting, such as Sybil attacks, misreporting of prover capacity, and collusion. We analyze our system-level designs and show how they can mitigate the various security concerns.
format Preprint
id arxiv_https___arxiv_org_abs_2404_06495
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle $Prooφ$: A ZKP Market Mechanism
Wang, Wenhao
Zhou, Lulu
Yaish, Aviv
Zhang, Fan
Fisch, Ben
Livshits, Benjamin
Computer Science and Game Theory
Zero-knowledge proofs (ZKPs) are computationally demanding to generate. Their importance for applications like ZK-Rollups has prompted some to outsource ZKP generation to a market of specialized provers. However, existing market designs either do not fit the ZKP setting or lack formal description and analysis. In this work, we propose a formal ZKP market model that captures the interactions between users submitting ZKP tasks and provers competing to generate proofs. Building on this model, we introduce $Prooφ$, an auction-based ZKP market mechanism. We prove that $Prooφ$ is incentive compatible for users and provers, and budget balanced. We augment $Prooφ$ with system-level designs to address the practical challenges of our setting, such as Sybil attacks, misreporting of prover capacity, and collusion. We analyze our system-level designs and show how they can mitigate the various security concerns.
title $Prooφ$: A ZKP Market Mechanism
topic Computer Science and Game Theory
url https://arxiv.org/abs/2404.06495