ChainFLIP: A Unified Framework Integrating Blockchain, Federated Learning, and IPFS for Secure Supply Chain Management

Currently, counterfeit and stolen goods are a major concern for both online and traditional retailers. Consumers currently have no reliable way to confirm whether products are genuine, which erodes trust and results in financial losses for both purchasers and vendors. This paper presents an innovative supply chain management system that integrates blockchain technology with federated learning to address critical challenges in modern supply chains. Building upon existing blockchain-based systems, we enhance supply chain solutions by integrating IPFS for decentralized metadata storage, leveraging low-cost technology platforms, and incorporating federated learning for attack detection—achieving a 9.37% reduction in operational cost per product under test conditions compared to prior architectures. The proposed system enhances product authentication, improves supply chain transparency, maximizes efficiency, and preserves data privacy while enabling collective learning across supply chain participants. Experimental results demonstrate that this approach offers superior security, cost-effectiveness, and scalability compared to traditional systems. The integration of these technologies establishes a robust framework for combating counterfeit products, ensuring product integrity, and building trust among stakeholders.