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AI and Blockchain Synergy: Enhancing Security in Industrial Automation
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Author(s): Himanshu Tyagi (Quantum University, India), Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Akansha Gautam (Tula's Institute, India), Abhishek Agarwal (Quantum University, India)and Sandhya Samant (COER University, India)
Copyright: 2025
Pages: 28
Source title:
AI-Enhanced Cybersecurity for Industrial Automation
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India)
DOI: 10.4018/979-8-3373-3241-3.ch012
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Abstract
This chapter explores the convergence of AI and blockchain in industrial automation, highlighting advancements in security, efficiency, and transparency. It outlines AI's role in predictive maintenance, anomaly detection, and intelligent decision-making, alongside blockchain's strengths in data integrity, tamper-proof records, and automated compliance. A multi-layered architecture is proposed for seamless integration, addressing scalability, complexity, and legal hurdles. Real-world use cases include secure predictive maintenance, fraud detection, decentralized identity, and supply chain automation. Emerging trends such as federated learning, AI-powered smart contracts, and zero-trust architectures are also discussed, showcasing the transformative potential of combining AI and blockchain.
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