Quantum Cryptography and Annealing for Securing Industrial IoT
Editat de Seifedine Kadry, Balamurugan Balusamy, S. B. Goyal, S. Sountharrajan, M. Karthiga, E. Suganyaen Limba Engleză Paperback – mar 2026
Beyond its focus on practical solutions, the book provides a thorough analysis of IIoT hardware resilience, addressing vulnerabilities to physical and side-channel attacks. It evaluates the performance of quantum cryptosystems and discusses how interdisciplinary teams collaborate to engineer secure IIoT systems. Balancing theory with application, the authors highlight challenges faced in implementing quantum cryptographic principles and present innovative approaches to overcome them.
- 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
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Specificații
ISBN-13: 9780443383496
ISBN-10: 0443383499
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443383499
Pagini: 250
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
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
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