This book will serve as a comprehensive resource for readers interested in utilizing different technologies like fog computing, federated learning, cloud computing, and blockchain in 6G‑enabled systems for addressing security concerns.
Key Features:
- Discusses technologies such as fog computing, federated learning, and blockchain in 6G‑enabled networks to address security threats.
- Provides in‑depth coverage of fundamental models, architectures, and security frameworks to help readers understand the complex landscape of 6G and the Internet of Things (IoT) security.
- Covers diverse areas of security frameworks and software‑defined fixes for security problems in 6G and the IoT networks.
- Presents protocols for authentication and key exchange in 6G and the IoT networks.
- Highlights the use of the IoT for enhanced biometric authentication in security.
This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, telecommunications, and computer science and engineering.
Gaganpreet Kaur is currently working as an associate professor, in the Department of Computer Science and Engineering, at Chitkara University, Punjab, India. She has teaching experience of more than eighteen years and has published more than a hundred research articles in various peer-reviewed, SCI, Scopus Journals, and International and National Conferences in the field of computer science. She has published more than 17 Indian patents. Her research interests include biometrics, image processing, forensic science, cloud computing, and healthcare.
A. V. Senthil Kumar is presently working as a Professor and Director, PG and Research Department of Computer Applications, at Hindusthan College of Arts & Science, Coimbatore, India. To his credit, he has industrial experience of five years and teaching experience of 27 years. He has published more than two hundred papers in International and National Journals, and nearly sixty papers in International Conferences. His areas of research interest include data mining and networks.
G. Prasanna Lakshmi is working as a Professor in the Department of Computer Science and Engineering and R&D Coordinator, at Sandip University, Nashik, India. She has 23 years of teaching experience and seven years of industrial experience. Her field of expertise includes data mining, pattern recognition techniques, artificial intelligence, machine learning, and deep learning. She has published research papers in journals and conferences of national and international reputation.
Rakesh Nyayapati, based in Weehawken, New Jersey, United States, is currently an Associate Director at UBS, bringing experience from previous roles at Cognizant and UBS. He holds a ITIL Intermediate - SO in Service Management @ APMG International. With a robust skill set that includes Process Excellence, Vendor Management, Transition Management, IT Service Management, Service Delivery, and more, he contributes valuable insights to the industry.
