Zecale: Reconciling Privacy and Scalability on Ethereum
Antoine Rondelet
TL;DR
Zecale is a SNARK proof aggregator that employs recursive composition to enhance privacy and scalability on Ethereum, enabling efficient privacy-preserving state transitions for blockchain applications.
Contribution
The paper introduces Zecale, a novel recursive SNARK aggregation method, as a scalable and privacy-preserving solution for blockchain systems.
Findings
Zecale effectively aggregates SNARK proofs using recursive composition.
It enables scalable privacy-preserving state transitions on Ethereum.
Applications include privacy-focused blockchain functionalities.
Abstract
In this paper, we present Zecale, a general purpose SNARK proof aggregator that uses recursive composition of SNARKs. We start by introducing the notion of recursive composition of SNARKs, before introducing Zecale as a privacy preserving scalability solution. Then, we list application types that can emerge and be built with Zecale. Finally, we argue that such scalability solutions for privacy preserving state transitions are paramount to emulate "cash" on blockchain systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Cryptography and Data Security · Cloud Data Security Solutions