A practical beginner's tutorial for creating, proving, and verifying zkSNARKs in Ethereum smart contracts using ZoKrates.
zkSNARKs Example is a tutorial project that demonstrates how to implement zero-knowledge proofs on the Ethereum blockchain. It provides a practical guide for developers who want to create, prove, and verify zkSNARKs in smart contracts without needing deep cryptographic knowledge. The project uses the ZoKrates toolbox to simplify the process and includes complete code examples.
Ethereum developers and blockchain engineers who want to add privacy features to their smart contracts using zero-knowledge proofs. It's particularly suitable for beginners who need a practical, hands-on introduction to zkSNARKs implementation.
This tutorial stands out by providing a complete, working example that abstracts away the complex mathematics of zkSNARKs. Unlike theoretical explanations, it offers copy-paste-ready code and a clear workflow that developers can immediately apply to their projects.
zkSNARKS tutorial
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Walks through the entire workflow from writing a ZoKrates program to deploying a verifier contract, with specific commands like 'compile' and 'export-verifier' for hands-on learning.
Uses the ZoKrates toolbox to abstract complex zkSNARK mathematics, allowing developers to implement proofs without deep cryptographic knowledge, as emphasized in the 'driver's ed' philosophy.
Provides complete Solidity contracts (e.g., Verifier.sol) and Python web3 scripts for verification, enabling copy-paste implementation and immediate testing.
Explains the process through entities like Charlie (trusted party), Alice (prover), and Bob (observer), clarifying real-world roles and making the concept accessible.
Based on a 2018 version of ZoKrates and Ethereum, with the author noting ZoKrates is a 'WIP' and details may change, risking deprecated methods or unsupported dependencies.
Focuses on a simple summing example and acknowledges challenges in interactive applications (e.g., games being brute-forceable), restricting utility for advanced use cases.
Verification requires state-changing transactions with high gas limits, as noted in the tutorial, making it expensive for frequent use on mainnet Ethereum.
The workflow depends on a trusted third party to generate and destroy toxic waste parameters, introducing centralization and security concerns for decentralized applications.