Palanichamy Naveen & R. Maheswar 
Digital Twins and Cybersecurity [PDF ebook] 
Safeguarding the Future of Connected Systems

الدعم

Digital Twins and Cybersecurity delves into the intricacies of digital twins, covering emerging trends in digital twin technology, and understands the complex relationship between digital twins and cybersecurity. This book highlights the growing threats in the digital landscape and cybersecurity measures to ensure the integrity and confidentiality of digital twin ecosystems. With a focus on the significance of cybersecurity, the book outlines the potential consequences of cyber-attacks on digital twins and emphasizes the importance of robust authentication, access control, and proactive threat detection.


The chapters encompass a wide range of topics based on real-world case studies offering valuable insights into digital twin technology, the various types of digital twins, and solutions for future developments. This book also delves into the challenges and mitigation strategies for digital twins in industries such as manufacturing, healthcare, and transportation. In addition to the topics covered in this book, Digital Twins and Cybersecurity aims to bridge the gap between theoretical knowledge and practical implementation. Lastly, this book is accessible to a wide range of readers, including professionals in industries to provide future challenges and developments in this dynamic space.

€188.99
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عن المؤلف

P. Naveen, Ph.D., is an assistant professor in the Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. He completed his Ph.D. in the field of wireless sensor networks. His research interests include image processing and machine learning. His areas of academic interest include image processing, VLSI signal processing, wavelets, and soft computing techniques. He has authored 2 books titled ‘Understanding the Metaverse and its Technological Marvels: Beyond Reality and Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks.’

R. Maheswar, Ph.D., earned his Ph.D. in the field of wireless sensor networks from Anna University in 2012. He is a professor in the Department of Electronics and Communications Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. His research interests included wireless sensor networks, Io T, queuing theory, and performance evaluation. He authored a book titled ‘Received Signal Strength Based Target Localization and Tracking Using Wireless Sensor Networks.’ He serves as an associate editor for the Alexandria Engineering Journal and a guest editor for the Wireless Network Journal.

U.S. Ragupathy, Ph.D., is a professor in the Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. He obtained his Ph.D. in medical image processing from Anna University in 2011. His areas of academic interest include image processing, VLSI signal processing, wavelets, and soft computing techniques. He has published 93 papers in international journals and conferences. He received the Best Faculty Award and the Best Researcher Award from Kongu Engineering College. He has organized more than 30 national-level seminars, workshops, and FDPs. Ragupathy is instrumental in promoting outcome-based education at Kongu Engineering College.

M. Akila, Ph.D., is an adjunct professor in the Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Her mission is to enhance the standards of education by providing an efficient and effective learning environment that complements the core values of KPRIET. She has contributed more than 35 research papers to peer-reviewed international journals. She has conducted numerous sponsored educational programs in engineering throughout her career.

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لغة الإنجليزية ● شكل PDF ● صفحات 503 ● ISBN 9781394272495 ● حجم الملف 6.7 MB ● محرر Palanichamy Naveen & R. Maheswar ● الناشر Wiley-Scrivener ● بلد US ● نشرت 2024 ● الإصدار 1 ● للتحميل 24 الشهور ● دقة EUR ● هوية شخصية 10082477 ● حماية النسخ Adobe DRM
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