基于折叠的零知识证明综述

IF 6.8 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cyprian Omukhwaya Sakwa , Andrew Omala Anyembe , Fagen Li
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引用次数: 0

摘要

本研究通过折叠方案的视角独特地探讨了零知识证明(ZKPs),为分析效率、可扩展性和后量子弹性提供了一个新的框架。通过专注于折叠,我们统一了不同的协议,澄清了权衡,并确定了实际的工程限制,为研究人员和实践者提供了可操作的见解。折叠方案已经成为增量可验证计算(IVC)的最简单和最快的方法,它支持具有恒定递归开销的递归零知识参数。我们提出了一个跨R1CS、Plonkish/CCS和AIR的基于折叠的zkp的统一模型;综合新星、超新星、HyperNova和曲线循环实例到最近的后量子晶格折叠的最新技术;提供对证明者时间、验证者工作、证明大小、设置假设和递归开销的严格比较;并将实际部署(包括Lurk/Nova、基于sonobe的轻客户机和vimz风格的媒体证明)映射到实际约束中。最后,我们强调了诸如混合椭圆-曲线-晶格设计和内存有限证明器的工程目标等开放问题,展示了这种以折叠为中心的观点如何推进zkp的理论理解和实际部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey of folding-based zero-knowledge proofs
This survey uniquely approaches zero-knowledge proofs (ZKPs) through the lens of folding schemes, offering a fresh framework to analyze efficiency, scalability, and post-quantum resilience. By focusing on folding, we unify diverse protocols, clarify trade-offs, and identify practical engineering constraints, providing both researchers and practitioners with actionable insights. Folding schemes have emerged as the simplest and fastest approach to incrementally verifiable computation (IVC), enabling recursive zero-knowledge arguments with constant recursion overhead. We present a unifying model of folding-based ZKPs across R1CS, Plonkish/CCS, and AIR; synthesize the state of the art from Nova, SuperNova, HyperNova, and cycle-of-curves instantiations to recent post-quantum lattice-based foldings; provide a rigorous comparison of prover time, verifier work, proof size, setup assumptions, and recursion overhead; and map real deployments—including Lurk/Nova, Sonobe-based light clients, and VIMz-style media proofs—to practical constraints. Finally, we highlight open problems such as hybrid elliptic-curve–lattice designs and engineering targets for memory-bounded provers, showing how this folding-centric view advances both theoretical understanding and real-world deployment of ZKPs.
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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