Cyprian Omukhwaya Sakwa , Andrew Omala Anyembe , Fagen Li
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引用次数: 0
Abstract
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.
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.