Quantum Shield for AI Security

Secure Systems, Quantum Blockchain, Adversarial Attacks and Defenses in AI

Aleem Ali, Puneet Kumar, Shaweta Sachdeva, Rajkumar Sarma, Nawaf R. Alharbe

• Publisher: De Gruyter
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9783112213445
• Subtopic: Computer Science General
• Index: Computer Science

The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges.
Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments.
The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security.

Table of contents

• Title Page
• Copyright
• Contents
• Frontmatter
• Contents
• List of contributing authors
• Chapter 1 Quantum blockchain and secure data flow
• Chapter 2 Adversarial machine learning and AI security: safeguarding Industry 4.0
• Chapter 3 Quantum twin shield: harnessing quantum-enhanced digital twins to secure the future of artificial intelligence against quantum-era threats
• Chapter 4 Quantum computing threats to AI security
• Chapter 5 Quantum-resistant cryptography in quantum twin shield architecture
• Chapter 6 A hybrid quantum-inspired model for sustainable electrification strategy: an energy-aware planning approach for cost-optimized data centers
• Chapter 7 Leveraging quantum decoy system for advanced threat detection in generative AI systems
• Chapter 8 Ethical and privacy challenges in building a quantum shield for AI security
• Chapter 9 Innovations in smart healthcare: advanced monitoring technologies and their impact on patient care
• Chapter 10 Quantum computing and healthcare software security: a novel hybrid evaluation framework
• Chapter 11 Exploring transformative potential and addressing ethical and privacy challenges in quantum-inspired AI system
• Chapter 12 A hybrid quantum-classical approach for fruit classification and calorie prediction using machine learning
• Index
• Index