This book serves as a comprehensive guide to understanding the complex relationship between digital twins and cybersecurity, providing practical strategies for safeguarding connected systems.
This book explores the convergence of digital twins and cybersecurity, offering insights, strategies, and best practices for safeguarding connected systems. It examines the definition, evolution, types, and applications of digital twins across industries like manufacturing, healthcare, and transportation. Highlighting growing digital threats, it underscores the need for robust cybersecurity measures to protect the integrity and confidentiality of digital twin ecosystems.
The book analyzes key components and infrastructure of digital twins, including data flow, communication channels, vulnerabilities, and security considerations. It also addresses privacy challenges and explores relevant regulations and compliance requirements. Guiding readers through implementing security measures, it presents a comprehensive cybersecurity framework, covering data protection, encryption, and strategies for ensuring data integrity and confidentiality. It also explores incident response and recovery, secure communication protocols, and the roles of gateways and firewalls. Industry-specific challenges and mitigation strategies are examined through real-world case studies, offering valuable insights and lessons learned.
Emerging trends in digital twin technology are thoroughly explored, including the impact of advancements such as AI and quantum computing and their associated cybersecurity challenges and solutions.
Audience
This book is an essential resource for professionals in the fields of cybersecurity and industrial and infrastructure sectors, including manufacturing, healthcare, transportation, and other industries that utilize digital twins. Researchers in computer science, cybersecurity, engineering, and technology, as well as policymakers and regulatory bodies, will also find this book highly useful.
Palanichamy Naveen, PhD, is an assistant professor in the Department of Electrical and Electronics Engineering at KPR Institute of Engineering and Technology, Coimbatore, India, and a visiting researcher at the University of Hradec Králové, Czech Republic. He has authored two books and more than 25 research articles in peer-reviewed journals. His research interests include image processing and machine learning.
R. Maheswar, PhD, is the director in-charge of the Center for Research and Development, head of the Center for IoT and AI (CITI), and a professor in the Department of Electronics and Communication Engineering at KPR Institute of Engineering and Technology, Coimbatore, India. He has published more than 70 papers in international journals and conferences, authored several books, and is affiliated with many journals in wireless communications. His research interests include wireless sensor networks, IoT, queuing theory, and performance evaluation.
U.S. Ragupathy, PhD, is a professor in the Department of Electronics and Communication Engineering at KPR Institute of Engineering and Technology, Coimbatore, India. He has published more than 100 papers in international journals and conferences and has organized over 30 national level seminars and conferences. His research areas include image processing, VLSI signal processing, wavelets, and soft computing techniques. He has received multiple awards, including the Best Faculty Award and the Best Researcher Award from Kongu Engineering College.
