Privacy-Preserving AI-Driven Intrusion Detection and Prevention Using Blockchain for Secure Enterprise Data Sharing

A privacy-preserving AI-driven intrusion detection and prevention system that uses blockchain for secure enterprise data sharing.

A privacy-preserving AI-driven intrusion detection and prevention system that uses blockchain for secure enterprise data sharing. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want to build decentralised applications: designing smart contracts, testing them, connecting a front end through a wallet and reasoning about security and cost.

The main parts are security and privacy controls such as encryption and access control, smart contracts for the core rules, a front end connected through a wallet, tamper-evident records on the chain, and automated contract tests. The reference build uses Solidity, Ethereum, Hardhat, and Web3.js, with a clear project structure, setup instructions and sample data so that it can be run and extended.