AI and ML in IoT Security Challenges, Solutions, and Future Directions

1. Deep Dive into Deep Learning for IoT Protection
Saksham Mittal, Mohammad Wazid, and Devesh Pratap Singh

2. A Systematic Review of Security in the Context of Cloud Authentication and Authorization Schemes
Snigdha Chatterjee, Aaditee Chaturvedi, Uddalak Chatterjee, Deepjyoti Choudhury, and Siddharth Kumar

3. Emergence of Sinkhole Attack and LDoS Attack in IoT Environments
Supantha Das

4. Explainable AI for Detecting and Understanding Cyberattacks on IoT-Enabled Critical Infrastructure: A Case Study on European Airports
Orgest Rrushi

5. Machine Learning for DDoS Attack Detection in IoT
Ameya K. Naik, Kiran V. Ajetrao, Nitin S. Nagori, and Hitendra Singh Dasoni

6. Outsmarting the Hackers: Battling Adversarial Attacks
Katrina Alex, Vineetha K. R., and Resmi K. R.

7. Machine Learning and Deep Learning for Next-Generation Intrusion Detection Systems
Akshita Patwal, Mohammad Wazid, and Devesh Pratap Singh

8. AI-Enhanced Intrusion Detection: The Next-Gen Shield
Kumar P.

9. Stronger Together: Hybrid Security Models for IoT
Shreenithi U, Vineetha K. R., and Resmi K. R.,

10. Adversarial Machine Learning for IoT Security: Attacks, Mathematical Foundations, and Robust Defenses
S. Suriya and Vedeshvar L.

11. TinyML in IoT Security: On-Device Anomaly Detection on Resource-Limited Microcontrollers
Sourav Kayal and Sanjib Kundu

12. Words as Weapons: NLP for IoT Security
Bablu Pramanik, Santanu Modak, Mamani Bandopadhyay, Sudipta Ghosh

13. Edge-Based Federated Learning in IoT: Architectures, Security, and Challenges
Subhadip Nandia and Pratik Bhattacharjeeb

14. Privacy at the Edge: Federated Learning for IoT
Siddhant Thapliyal, Mohammad Wazid, Devesh Pratap Singh, and Jai Yadav

15. Edge-Centric Federated Learning for IoT: Balancing Privacy, Efficiency, and Scalability
Kumar P.

Biography

Dr. 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), Romania. Specializing in SAR Image Processing, he earned his Ph.D. 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 Adhoc Networks, and Natural Language Processing.

Dr. Subir Panja is an Associate Professor and Head of the Department of Computer Science and Engineering (Cyber Security) at Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India. He earned his Ph.D. in Computer Science and Engineering from the Central Institute of Technology (CIT), Kokrajhar, where his research focused on enhancing the security of the Internet of Medical Things (IoMT) using deep learning techniques. With over 20 years of academic, teaching, and research experience, Dr. Panja has served in various capacities, including Lecturer and Assistant Professor, at reputed engineering institutions. His research interests encompass IoT Security, Cyber Security, Machine Learning, Deep Learning, Anomaly Detection, Multimedia Systems, and Intelligent Healthcare Applications. Dr. Panja has authored and edited several books and book chapters, published numerous research papers in reputed journals and conferences, and actively contributes to research and academic development in the fields of cybersecurity and artificial intelligence. He is committed to advancing innovative and interdisciplinary research that addresses emerging challenges in secure and intelligent computing systems.