Quantum Cryptography and Annealing for Securing Industrial IoT

Seifedine Kadry, Balamurugan Balusamy, S. B. Goyal, S. Sountharrajan, M. Karthiga, E. Suganya

• Publisher: Syngress
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9780443383502
• Subtopic: Computer Science General
• Index: Computer Science

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. - Presents clear, concise, and reader-friendly quantum cryptographical concepts through the use of accessible language, diagrams, and examples to enhance the learning experience - Includes real-world examples and case studies, demonstrating the practical applications of quantum cryptographical concepts in the design and development of industrial robots and IIoT devices - Caters to a diverse audience with backgrounds in mathematics, engineering, cybersecurity, quantum computing, and industrial engineering, making the content accessible to a broad range of readers

Table of contents

• Title of Book
• Chapter 1 Efficient quantum cryptography in industrial IoT for optimized performance, energy and resource utilization
• Chapter 2 Advanced security in Industrial IoT: deep learning sensor fusion and quantum cryptography for healthcare data protection
• Chapter 3 Mathematical modeling for secure IIoT optimization with quantum-inspired techniques in healthcare applications
• Chapter 4 Quantum cybersecurity in IIoT-based power grids
• Chapter 5 Quantum federated learning for intrusion detection in Industrial Internet-of-Things
• Chapter 6 Protecting patient healthcare using IIoT: a novel FM-RFES and Mann approach for cloud-based quantum cryptography
• Chapter 7 Security and privacy of quantum-secured 6G networks
• Chapter 8 Motion planning and trajectory optimization for Industry IoT devices
• Chapter 9 An intelligent intrusion detection system using Quantum Bacterial Foraging Optimization with Multiscale Attention Convolutional Long Short-Term Memory in a cloud environment
• Chapter 10 Quantum technologies for enhanced security in manufacturing systems
• Chapter 11 Industrial Internet of Things–Quantum: a synergistic approach for industrial transformation
• Chapter 12 Deep learning and quantum-inspired techniques for feature extraction and anomaly detection in Industrial Internet of Things environments
• Chapter 13 A hybrid quantum‑secure framework for IIoT‑enabled smart grids
• Chapter 14 Deep learningenhanced diagnostic system for heart valve diseases
• Chapter 15 Introduction to quantum cryptography and postquantum cryptography for securing IIoT platforms
• Chapter 16 Ethical considerations of industrial robots and IIoT devices
• Index