Description
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
1. Introduction to Quantum Cryptography and Post-Quantum Cryptography for Securing IIoT Platforms2. Design Considerations for IIoT Devices3. Mathematical Modeling for Secure IIoT Optimization with Quantum-Inspired Techniques4. Linear Algebra and Calculus for Industrial Robots and IIoT devices5. Quantum Annealing for IIoT Optimisation and Security6. Sensor Fusion and Data Processing for IIoT devices Control7. Industrial Digital Twins for Enhanced Connectivity and Security8. Motion Planning and Trajectory Optimization for Industrial IoT devices9. Safety and Stability Analysis of Industrial IoT Systems10. Quantum technologies for Enhanced Security in Manufacturing Systems11. Industrial Quantum Computing applications12. Deep learning and Quantum-inspired Techniques for Feature Extraction and Anomaly Detection in IIoT Environments13. Quantum Cybersecurity in IIoT based Power grids14. Practical Quantum Cryptosystems: Implementation Insights for IIoT Platforms15. Computational Tools and Techniques for Industrial Engineering16. Ethical Considerations of Industrial Robots and IIoT devices
