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Research PaperResearchia:202604.30013

Catching the Fly: Practical Challenges in Making Blockchain FlyClient Real

Pericle Perazzo

Abstract

FlyClient is a lightweight blockchain verification protocol that enables proof-of-work validation using minimal data, making it ideal for resource-constrained environments like mobile wallets, Internet-of-Things devices or cross-chain bridges implemented with smart contracts. Despite its strong potential for enabling lightweight blockchain verification, FlyClient protocol is still in the experimental stages, with limited real-world deployments and performance evaluations under diverse conditions...

Submitted: April 30, 2026Subjects: Cybersecurity; Computer Science

Description / Details

FlyClient is a lightweight blockchain verification protocol that enables proof-of-work validation using minimal data, making it ideal for resource-constrained environments like mobile wallets, Internet-of-Things devices or cross-chain bridges implemented with smart contracts. Despite its strong potential for enabling lightweight blockchain verification, FlyClient protocol is still in the experimental stages, with limited real-world deployments and performance evaluations under diverse conditions. In this paper we bridge the gap between theory and deployment, by addressing several technical challenges to advance FlyClient to a production-ready solution. Namely, our contribution is three-fold: (i) we formally introduce an adversary model alternative to the original FlyClient one, that allows us to parametrize a verifier under a concrete economic interpretation, while also saving some proof space; (ii) we provide the first practical FlyClient prover implementation for a production blockchain (Zcash), and we estimate its performance under different configurations; (iii) we introduce and evaluate two optimizations that minimize the size of FlyClient proofs, the first of which does not require any consensus change.


Source: arXiv:2604.26736v1 - http://arxiv.org/abs/2604.26736v1 PDF: https://arxiv.org/pdf/2604.26736v1 Original Link: http://arxiv.org/abs/2604.26736v1

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Submission Info
Date:
Apr 30, 2026
Topic:
Computer Science
Area:
Cybersecurity
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