Systematic Survey Elevates Zero-Knowledge Proof Framework Understanding and Adoption ∞ Research

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Briefing

Zero-Knowledge Proofs (ZKPs) represent a foundational cryptographic primitive, yet the proliferation of diverse frameworks has created significant barriers to entry for developers seeking to implement privacy-preserving and scalable solutions. This paper addresses this challenge by providing a systematic survey and evaluation of 25 prominent ZKP frameworks, rigorously assessing their usability and performance. The foundational breakthrough lies in demystifying the complex ZKP landscape through a comprehensive comparative analysis, offering a digestible guide that directly lowers the technical hurdle for developers. This systematic understanding is crucial for fostering broader adoption of ZKPs, ultimately accelerating the development of more private, scalable, and verifiable blockchain architectures.

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Context

Prior to this research, the rapid development of Zero-Knowledge Proof frameworks had created a fragmented landscape, making it challenging for developers, particularly those without extensive cryptographic backgrounds, to identify and effectively utilize the most suitable tools for their applications. This prevailing theoretical limitation hindered the practical application and widespread adoption of ZKPs, despite their recognized potential for enhancing privacy and scalability in distributed systems. The absence of a comprehensive, comparative evaluation meant that critical decisions regarding framework selection were often based on incomplete information or anecdotal evidence.

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Analysis

The paper’s core mechanism involves a systematic methodology for surveying and evaluating 25 general-purpose ZKP frameworks. It fundamentally differs from previous approaches by providing a structured, multi-dimensional assessment that includes usability, accessibility, and performance benchmarks. The new primitive, in essence, is the comprehensive evaluative framework itself, which categorizes and analyzes ZKP constructions (e.g. zk-SNARKs, zk-STARKs, MPC-in-the-Head) based on their underlying arithmetic schemes. This approach allows for a clear, empirical comparison of how each framework handles common computational tasks, such as SHA-256 and matrix multiplication, providing developers with actionable insights into their practical capabilities and trade-offs.

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Parameters

Core Concept ∞ Zero-Knowledge Proof Frameworks
Evaluation Methodology ∞ Systematic Survey and Benchmarking
Number of Frameworks Evaluated ∞ 25
Key Authors ∞ Sheybani, N. et al.
Publication Date ∞ February 10, 2025

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Outlook

This systematic survey lays critical groundwork for future research by highlighting gaps in existing ZKP frameworks and informing the design of more developer-friendly tools. In the next 3-5 years, this foundational understanding could unlock real-world applications such as enhanced on-chain privacy for decentralized finance, verifiable computation for scalable blockchain rollups, and secure digital identity solutions. The research opens new avenues for academic inquiry into optimizing ZKP framework design for specific use cases, fostering greater interoperability, and developing standardized evaluation metrics to further accelerate the practical deployment of zero-knowledge technology.

This systematic survey provides an indispensable roadmap for navigating the complex Zero-Knowledge Proof landscape, fundamentally accelerating the practical integration of privacy-preserving cryptography into foundational blockchain architectures.

Signal Acquired from ∞ arXiv.org