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AI-Powered Intrusion Detection and Prevention System (IDPS) for Industrial IoT
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Author(s): Emmanuel Innocent Umoh (Sharda University, India), Hussaini Bishara (Sharda University, India)and Amrita (Sharda University, India)
Copyright: 2025
Pages: 18
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.ch009
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Abstract
The accelerated evolution of Industrial Internet of Things (IIoT) 5.0 brings human-centric automation, hyperconnectivity, and Artificial Intelligence (AI) based real-time data analytics. The growth presents cybersecurity challenges with an increased attack surface and advanced threats. Legacy Intrusion Detection and Prevention System (IDPS) are not scalable and lack the agility to deal with these threats. This chapter discusses AI-based IDPS through machine learning, deep learning, and FL to enable real-time threat detection. This chapter also mentions the importance of Explainable AI, blockchain, and edge AI in improving security. The future directions are quantum computing and light AI models, and this provides a roadmap to secure IIoT 5.0 against future cyber-attacks.
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