6G Cyber Security Resilience: Trends and Challenges

Erscheinungsjahr 2025
ISBN: 978-3-031-85007-3
Verlag: Springer International Publishing

Buch, Englisch, 262 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 624 g

Reihe: Advanced Sciences and Technologies for Security Applications

This book offers a comprehensive analysis of intersection of significant domains, including information security, 6G technology, and cybersecurity. This  reference work addresses gaps in existing literature by providing insights, research findings, and personal evaluations from esteemed scholars in the field. Holographic-type communications (HTC), tactile Internet, connected autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), autonomous healthcare solutions, manufacturing systems, and virtual/augmented/extended reality (VR/AR/XR), along with other cutting-edge applications, will continue to advance with the advent of 6G. The advent of the 6G era has been ushered in by the rapid advancement of communication technologies, promising unprecedented applications and connectivity. As we venture into this unexplored domain, the criticality of cybersecurity resilience cannot be overstated. This book examines and assesses the emerging trends in 6G technology, with a particular focus on the intricate challenges encountered in the realm of cybersecurity. By analyzing the intricate interplay between IoT integration, AI/ML security, quantum communication, and the intricacies of the physical layer, this book endeavors to provide a comprehensive understanding of the perpetually evolving threat landscape. It is reasonable to expect that 6G, similar to its predecessors, will promote advancements in the domain of connectivity and telecommunications through the provision of increased data throughput, decreased latency, and expanded capacity. These developments will promote the development of innovative applications and services, thus increasing the importance of robust cybersecurity protocols. As 6G technology continues to proliferate, it becomes increasingly vital to ensure the security and preservation of data.

The primary audience of this book is industrialists, academicians, researchers, and UG/PG students. The secondary audience consists of practitioners, cyberpolice, lawmakers, legal firms, etc. as we are also covering regulatory and ethical considerations in 6G cybersecurity.

Zielgruppe

Graduate

Autoren/Hrsg.

Gururaj, H. L.

Ravi, Vinayakumar

Sapna, R.

Shreyas, J.

Pavithra, N.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Technische Wissenschaften Bauingenieurwesen Gebäudesicherheit
• Naturwissenschaften Physik Quantenphysik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Analysis and Comparison of Various Steganography Methods for secure 6G communication.- Image Encryption in the Compressed Domain using Autoencoders for 6G communication.- The Security Design and Challenges of 6G Architecture.- Cyber Security technologies for Privacy in 6G Networks.- Advancements in AI and ML for Enhanced Security and Performance in 6G Networks.- ML-Driven Secure Communication for Next-Generation 6G Networks.- Building a Better Network: The Promising Future of 6G Technology Applications and Challenges.- Building a Better Network: The Promising Future of 6G Technology Applications and Challenges.- Blockchain and Distributed Ledger Technology for 6G Security.- 6G Cyber Security Resilience: Trends and Challenges.- IoT and Edge Computing Security: Essential Aspects of 6G Networks.- Enhancing Cyber security in 6G Networks with Federated Learning for Collaborative Threat Mitigation.- Federated Learning for Enhancing Cybersecurity in IoT-Integrated 6G Networks: Challenges, Opportunities, and Future Directions.

Über Autor(innen)

Dr. Gururaj H L (Senior Member, IEEE) received a Ph.D. degree in computer science and engineering from Visvesvaraya Technological University India in 2019. He has published more than 200 research articles in peer-reviewed and reputed international journals. He has authored 15 Edited books in Springer, IET, IGI Global and Taylor & Francis.  He has presented more than 70 papers at various international conferences. He is a Senior Member of ACM. He received a Young Scientist International Travel Support ITS-SERB, Department of Science and Technology, Government of India, in December 2016. He was a recipient of best paper awards at various national and international conferences. He was appointed as an ACM Distinguish Speaker (2018–2021) by the ACM U.S. Council. He has honoured as Keynote Speaker, Session chair, TPC member, Advisory committee member at International Seminars, Workshops and Conferences across Globe. Prof. Gururaj’s research interests are Applications in Machine and federated Learning, data mining, Blockchain and cyber security.Dr. Gururaj H L - Google Scholar

Dr. Shreyas J received the B.E degree in M.Tech degree from Visvesvaraya Technological University. He has received full time Ph.D. degree from Bangalore University in 2021. All the three degrees are in Computer Science and Engineering discipline. He has completed Ph.D. in the area of Internet of Things and Artificial Intelligence in the Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE, IIT Model College), Bangalore University, Bangalore. He is currently working as Assistant Professor, Dept. of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. Dr. Shreyas J is involved in research, and teaching B.E and M.Tech student of Computer Science and Engineering and he has more than 8 years of Research, Academia and Industrial experience. He has published more than 60 papers in International Journals including Elsevier, Springer, Inderscience and International Conferences which are indexed by SCI and Scopus. He has received three best paper awards in Hong Kong, Dubai and New Delhi each during International Conferences. He has workedas a reviewer for various reputed journals including Nature, IEEE, Elsevier, Springer, Johnny Wiley, etc publishers and international conferences. He also served as Guest Editor, Editorial Member, Session Chair, Technical committee member etc. for various journals and conferences. He has delivered many Keynote/Invited Talks at international conferences and chaired technical sessions worldwide. Dr. Shreyas J is a valued member of professional bodies like ACM, IEEE, ISTE, and IAENG, contributing to the academic community in various capacities. He has filed, published and registered various patents. His current research lies in the area of Sensor Networks, Artificial Intelligence of Things, Swarm Intelligence and Machine Learning.

Vinayakumar Ravi is an Assistant Research Professor at Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. My previous position was a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. His current research interests include applications of data mining, Artificial Intelligence, machine learning (including deep learning) for biomedical informatics, Cyber Security, image processing, and natural language processing. He has more than 50 research publications in reputed IEEE conferences, IEEE Transactions and Journals. His publications include prestigious conferences in the area of Cyber Security, like IEEE S&P and IEEE Infocom. He has organized a shared task on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. He received the Chancellor's Research Excellence Award in AIRA 2021.

Dr. Pavithra N, received a bachelor’s degree in Information science and engineering from VTU, Karnataka in 2005, a master’s degree in computer science and engineering from VTU, Karnataka in 2009, and a philosophy of doctorate degree in Computer Science and Engineering from VTU, Karnataka in 2023, respectively. She has had total of 14 years of Teaching experience. She is currently working as an Assistant Professor, at Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal, India. Her research areas include Big Data Analytics, Computer Vision, Information security and Cryptography. She has many papers to her credit in reputed international journals, national journals, and conferences. She has been serving as a reviewer for highly respected journals.

Sapna R is an academician with a bachelor's in 2009 and a master's degree in 2016 in computer science and engineering from VTU, Karnataka. Currently pursuing her doctorate in Computer Science and Engineering under VTU, Sapna has six years of teaching experience and currently serves as an Assistant Professor at Manipal Institute of Technology, Bengaluru, under the Manipal Academy of Higher Education. Her research areas include Image Processing, the Internet of Things, and Semantic Web, with numerous published papers in international and national journals, as well as conference presentations.