A Survey on the Applications of Zero-Knowledge Proofs
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
[2408.00243] A Survey on the Applications of Zero-Knowledge Proofs Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Cryptography and Security arXiv:2408.00243 (cs) [Submitted on 1 Aug 2024 ( v1 ), last revised 10 Apr 2026 (this version, v2)] Title: A Survey on the Applications of Zero-Knowledge Proofs Authors: Ryan Lavin , Xuekai Liu , Hardhik Mohanty , Logan Norman , Giovanni Zaarour , Bhaskar Krishnamachari View a PDF of the paper titled A Survey on the Applications of Zero-Knowledge Proofs, by Ryan Lavin and 5 other authors View PDF HTML (experimental) Abstract: Zero-knowledge proofs (ZKPs) enable computational integrity and privacy by allowing one party to prove the truth of a statement without revealing underlying data. Compared with alternatives such as homomorphic encryption and secure multiparty computation, ZKPs offer distinct advantages in universality and minimal trust assumptions, with applications spanning blockchain systems and confidential verification of computational tasks. This survey provides a technical overview of ZKPs with a focus on an increasingly relevant subset called zkSNARKs. Unlike prior surveys emphasizing algorithmic and theoretical aspects, we take a broader view of practical deployments and recent use cases across multiple domains including blockchain privacy, scaling, storage, and interoperability, as well as non-blockchain applications such as voting, authentication, timelocks, and machine learning. To support consistent comparison, we provide (i) a taxonomy of application areas, (ii) evaluation criteria including proof size, prover and verifier time, memory, and setup assumptions, and (iii) comparative tables summarizing key tradeoffs and representative systems. The survey also covers supporting infrastructure, including zero-knowledge virtual machines, domain-specific languages, libraries, and frameworks. While emphasizing zkSNARKs for their prevalence in deployed systems, we compare them with zkSTARKs and Bulletproofs to clarify transparency and performance tradeoffs. We conclude with future research and application directions. Comments: 30 pages, 7 figures, 11 tables Subjects: Cryptography and Security (cs.CR) ; Computational Complexity (cs.CC) Cite as: arXiv:2408.00243 [cs.CR] (or arXiv:2408.00243v2 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2408.00243 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Hardhik Mohanty [ view email ] [v1] Thu, 1 Aug 2024 02:47:30 UTC (1,061 KB) [v2] Fri, 10 Apr 2026 18:51:54 UTC (3,451 KB) Full-text links: Access Paper: View a PDF of the paper titled A Survey on the Applications of Zero-Knowledge Proofs, by Ryan Lavin and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CR < prev | next > new | recent | 2024-08 Change to browse by: cs cs.CC References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from
Related documents
- Schnorr Non-interactive Zero-Knowledge Proof#399347
- Soft Redaction of Image Provenance via Zero-Knowledge Proofs#440296
- Selfless assertions and the Knowledge Norm#772501
- Selfless assertions and the Knowledge Norm#708905
- Zero Knowledge Proofs in Quantum Networks#1129931
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive