AI Powered Cybersecurity Frameworks for Intrusion Detection and Threat Intelligence in Smart Infrastructure

Manimaran M, S Ranganathan · 2025

The exponential growth of smart infrastructure systems, encompassing critical sectors such as energy, transportation, healthcare, and urban management, has introduced a new era of operational efficiency and automation. The interconnected and dynamic nature of these systems has simultaneously exposed them to a wide array of evolving cyber threats. Traditional rule-based cybersecurity mechanisms are increasingly inadequate in addressing the complex, high-velocity, and adaptive attack patterns targeting smart infrastructure. In response to this challenge, the integration of Artificial Intelligence (AI) into cybersecurity frameworks has emerged as a pivotal advancement, enabling intelligent threat detection, contextual threat analysis, and proactive defense strategies. This chapter presents a comprehensive exploration of AI-powered cybersecurity frameworks designed for intrusion detection and threat intelligence in smart infrastructure environments. The discussion encompasses the foundational concepts of threat intelligence, the role of machine learning, deep learning, and reinforcement learning in real-time threat prediction, and the architectural evolution of context-aware and multimodal security systems. Emphasis is placed on low-latency AI implementations through edge and fog computing, ontology-driven threat modeling, and adaptive decision-making capabilities. The chapter examines current implementation challenges, such as data imbalance, model interpretability, adversarial robustness, and computational efficiency, while proposing strategies for their resolution. Through detailed technical analysis and synthesis of current research trends, this chapter contributes to the understanding and development of resilient, scalable, and intelligent cybersecurity solutions tailored for the demands of smart infrastructure. The insights offered are intended to guide future innovations in securing cyber-physical ecosystems against advanced and persistent threats.

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