Zero-Knowledge Sudoku you own this product

prerequisites
intermediate Rust • basic IntelliJ IDEA Rust plugin
skills learned
implement and test a library for a specific construction of a zero-knowledge protocol • implement a cryptographic hash-based commitment scheme
Omer Shlomovits
1 week · 5-7 hours per week · BEGINNER
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In this liveProject, you’ll use zero-knowledge proof (ZKP) to reveal that a super hard Sudoku puzzle has been solved, but without sharing the answer. To do this you’ll implement a prover and a verifier that are sharing a Sudoku board. The prover will produce a proof for knowing a solution, while the verifier will use the proof to get convinced and catch a cheating prover. You’ll build a ZKP based on the classical GMW zero-knowledge proof of 3-Colorability of a graph, using the Rust language.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Omer Shlomovits
Omer Shlomovits (omershlomovits.com) is the co-founder and VP Research of ZenGo (founded 2018), a Tel-Aviv based company building products for consumers in the blockchain space. He runs ZenGo X, a 500+ members research community. He is a member of OpenMined MPC team, applying secure computation to machine learning. He codes mostly in Rust\Go and is passionate about imagining, designing, implementing and attacking complex crypto-systems. His research is aimed to tackle real world, hard problems, using novel cryptography. His focus is on threshold cryptography. In 2019 he co-founded MPC-Alliance, a consortium of 50+ companies collaborating to advance MPC technology. Currently he serve as a board-member and head of the technical committee. He co-founded Zero-Knowledge TLV, a 750+ members applied cryptography community in Israel. This is now part of ZK-Global.

prerequisites

The liveProject is for intermediate Rust developers. To begin this liveProject you will need to be familiar with the following:

TOOLS
  • Intermediate Rust
  • Basic IntelliJ IDEA Rust plugin
TECHNIQUES
  • Basic algorithms

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