ICBAC: an Intelligent Contract-Based Access Control framework for supply chain management by integrating blockchain and federated learning
Sadegh Sohani, Salar Ghazi, Farnaz Kamranfar, Sahar Pilehvar Moakhar, Mohammad Allahbakhsh, Haleh Amintoosi, Kaiwen Zhang

TL;DR
ICBAC is a novel framework combining blockchain and federated learning to enable dynamic, privacy-preserving access control in supply chains, effectively detecting anomalies and adapting to insider threats.
Contribution
It introduces an integrated smart contract and federated learning approach with game-theoretic client selection for supply chain access control.
Findings
Achieves blockchain performance comparable to static frameworks.
Effectively detects anomalies in IID and non-IID data.
Ensures privacy with zero raw-data sharing.
Abstract
This paper addresses the critical challenge of access control in modern supply chains, which operate across multiple independent and competing organizations. Existing access control is static and centralized, unable to adapt to insider threats or evolving contexts. Blockchain improves decentralization but lacks behavioral intelligence, while centralized machine learning for anomaly detection requires aggregating sensitive data, violating privacy. The proposed solution is ICBAC, an intelligent contract-based access control framework. It integrates permissioned blockchain (Hyperledger Fabric) with federated learning (FL). Built on Fabric, ICBAC uses a multi-channel architecture and three smart contracts for asset management, baseline access control, and dynamic revocation. To counter insider misuse, each channel deploys an AI agent that monitors activity and dynamically restricts access…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Privacy-Preserving Technologies in Data · Cryptography and Data Security
