Quantum Cryptography and Annealing for Securing Industrial IoT
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69 259 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 March 2026
- ISBN 9780443383496
- Binding Paperback
- No. of pages250 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long 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.
Table of Contents:
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
