Quantum Cryptography and Annealing for Securing Industrial IoT

Erscheinungsjahr 2026
ISBN: 978-0-443-38349-6
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 216 mm x 276 mm, Gewicht: 450 g

Quantum Cryptography and Annealing for Securing Industrial IoT focuses on the rapidly evolving field of quantum security solutions for Industrial Internet of Things (IIoT) platforms, emphasizing the critical intersection of quantum cryptography, post-quantum cryptography, and their practical applications in IIoT. The book’s primary objective is to drive advancements that significantly intersect quantum cryptography in securing IIoT devices, elevate secure IIoT infrastructures, and optimize the overall delivery. Distinguishing itself by prioritizing practical applications, it offers a nuanced perspective on how technological integrations in quantum cryptosystems are actively employed in real-world scenarios.

The authors meticulously examine the role of quantum cryptosystems in the design, analysis, and optimization of IIoT-specific hardware, covering their resilience to physical and side-channel attacks and evaluating performance. This book strikes a balance between theoretical concepts and practical applications, providing insights into the challenges and solutions encountered in applying quantum cryptographical principles to IIoT engineering problems.

Autoren/Hrsg.

Kadry, Seifedine

Balusamy, Balamurugan

Goyal, S. B.

Sountharrajan, S.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Kryptologie, Informationssicherheit
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing

Inhaltsverzeichnis

1. Introduction to Quantum Cryptography and Post-Quantum Cryptography for Securing IIoT Platforms
2. Design Considerations for IIoT Devices
3. Mathematical Modeling for Secure IIoT Optimization with Quantum-Inspired Techniques
4. Linear Algebra and Calculus for Industrial Robots and IIoT devices
5. Quantum Annealing for IIoT Optimisation and Security
6. Sensor Fusion and Data Processing for IIoT devices Control
7. Industrial Digital Twins for Enhanced Connectivity and Security
8. Motion Planning and Trajectory Optimization for Industrial IoT devices
9. Safety and Stability Analysis of Industrial IoT Systems
10. Quantum technologies for Enhanced Security in Manufacturing Systems
11. Industrial Quantum Computing applications
12. Deep learning and Quantum-inspired Techniques for Feature Extraction and Anomaly Detection in IIoT Environments
13. Quantum Cybersecurity in IIoT based Power grids
14. Practical Quantum Cryptosystems: Implementation Insights for IIoT Platforms
15. Computational Tools and Techniques for Industrial Engineering
16. Ethical Considerations of Industrial Robots and IIoT devices

Über Autor(innen)

Goyal, S. B.
Dr. S. B. Goyal received his Ph.D. in Computer Science and Engineering from Banasthali University, Rajasthan, India, in 2012. He is currently working as Professor and Dean–CSE at Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. He has over 22 years of national and international academic and research experience and has contributed to integrating Industry 4.0 technologies, including blockchain and artificial intelligence, into academic curricula.

Dr. Goyal holds more than ten international patents and copyrights from Australia, Germany, and India. His research interests include blockchain, artificial intelligence, cloud computing, cybersecurity, the Internet of Things, and data mining. He has served as editor or co-editor for several academic books and as a reviewer or guest editor for journals published by IEEE, Inderscience, IGI Global, and Springer. He has also been an invited speaker at international events such as Bloconomic 2019 and the World AI Show 2021.

Sountharrajan, S.
S. Sountharrajan completed his PhD from Anna University in Information and Communication Engineering in the year 2017 and is currently working as Associate Professor in the School of Computing (SOC) at Amrita Vishwa Vidyapeetham, Chennai Campus. He is Program Head, B. Tech Computer Science and Engineering. He was sanctioned an amount of Rs. 38,00,000 from the funding agencies like DST, AICTE and ICMR. He has also published papers in 10 International / 6 National Conferences. He was published 35 International journals including 50 Scopus index and 12 SCI. He has been certified from reputed companies of India like the IBM, DELL EMC Corporation. He has delivered 33 Guest Lectures in reputed universities and Institutions in India. He has worked on Big Data, cloud computing show the importance of cloud deployed applications.

Balusamy, Balamurugan
Balamurugan Balusamy is Associate Dean Student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several start-ups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposium.

Kadry, Seifedine
Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.