Quantum Cryptography and Annealing for Securing Industrial Iot

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

• Broschiertes Buch

Produktbeschreibung

Quantum Cryptography and Annealing for Securing Industrial IoT explores cutting-edge quantum security strategies designed to protect Industrial Internet of Things (IIoT) platforms. Focusing on the convergence between quantum and post-quantum cryptography, the book delves into practical implementations that safeguard IIoT devices and strengthen infrastructure. With the proliferation of interconnected systems in modern industry, the need for robust security has never been more urgent. The authors emphasize real-world applications, offering readers actionable insights into how quantum cryptosystems are integrated within IIoT environments to counter emerging threats, particularly those posed by quantum computing advancements. 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.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 250
• Erscheinungstermin: 1. März 2026
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443383496
• ISBN-10: 0443383499
• Artikelnr.: 75042441

Inhaltsangabe

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