About this ebook
AI and ML in IoT Security: Challenges, Solutions, and Future Directions explores how these smart technologies are critical in securing IoT systems. It explains how they can be used to analyze vast amounts of data, detect anomalies, and respond to evolving threats in real time. It also explores how:
- tiny machine learning (TinyML) enables intelligent, autonomous defense directly on constrained IoT devices;
- explainable artificial intelligence (AI) can enhance transparency, trust, and human–machine collaboration in protecting critical IoT-enabled infrastructure;
- integrating deep learning, natural language processing (NLP), reinforcement learning, and Security Orchestration, Automation, and Response (SOAR) systems demonstrates scalable and explainable intrusion detection across IoT, cloud, and edge environments; and
- ensemble learning can achieve accurate and timely detection with acceptable computational overhead.
Providing a comprehensive and forward-looking perspective on securing IoT ecosystems using AI and ML, the book is a critical reference for researchers, practitioners, graduate students, and industry professionals seeking to design intelligent, resilient, and privacy-aware IoT security solutions.
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About the author
Debabrata Samanta serves as the Department Chair and Assistant Professor in the Department of Computing and Information Technologies at the American Academy of Technology Tirana (commonly known as Rochester Institute of Technology—Tirana), Albania, Europe. Specializing in SAR Image Processing, he earned his PhD in Computer Science and Engineering from the National Institute of Technology, Durgapur, India. Dr. Samanta has a strong interest in interdisciplinary research and development. His expertise spans various fields, including SAR image analysis, video surveillance, heuristic algorithms for image classification, deep learning frameworks for detection and classification, blockchain, statistical modeling, wireless ad hoc networks, and natural language processing.
Subir Panja is Associate Professor and Head of the Department of Computer Science and Engineering – Cyber Security at the Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India. With a focus on enhancing security using deep learning for the Internet of Medical Things (IoMT), he earned his PhD in Computer Science and Engineering from the Central Institute of Technology, Kokrajhar. With more than two decades of teaching and research experience, he has previously held positions as lecturer and assistant professor at leading engineering institutions. Dr. Panja’s research interests include IoT security, machine learning, deep learning, anomaly detection, and multimedia systems.
