AI Driven Cybersecurity for Industrial IoT Networks: Challenges, Innovations, and Future Directions
Industrial Internet of Things (IIoT) networks, essential to modern manufacturing, logistics, and critical infrastructure, face unprecedented cybersecurity challenges. As IIoT networks expand, integrating countless interconnected devices, they are increasingly exposed to cyber threats that exploit system vulnerabilities, jeopardizing data integrity, operational continuity, and safety. Traditional security measures, while effective in standard IT environments, often lack the adaptability and real-time responsiveness needed for IIoT's unique requirements. In response, Artificial Intelligence (AI) has emerged as a transformative solution, offering enhanced detection, prediction, and response capabilities tailored to the complex IIoT landscape. This chapter explores the critical role of AI-driven approaches in advancing cybersecurity for IIoT networks.
| Year of publication: |
2025
|
|---|---|
| Authors: | Khan, Zahid Ullah ; Taj, Sher ; Khan, Faheem ; Jamil, Tooba ; Muhammad, Aman ; Khan, Javed |
| Published in: |
Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses. - IGI Global Scientific Publishing, ISBN 9798337305851. - 2025, p. 55-90
|
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