Secure and Responsible AI in 6G Technology- Enabled IoT Systems

The book presents a holistic and forward-looking perspective on the design and deployment of secure, privacy-preserving, and trustworthy AI-driven IoT and IoMT systems in the 6G era. By integrating architectural principles, advanced AI learning paradigms, blockchain-based trust mechanisms, and emerging security solutions such as post-quantum cryptography and green AI, the book effectively bridges theoretical foundations with practical application domains. It provides researchers, practitioners, and policymakers essential insights on the evolving challenges in intelligent connectivity, healthcare, mobility, and smart infrastructures, thereby contributing to the development of resilient, responsible, and sustainable 6G-enabled intelligent ecosystems.Key Features:Reviews the latest advances in 6G-enabled IoT and IoMT systems with a strong focus on AI-native networking, security, privacy, and trust.Explores advanced AI learning paradigms, including Edge AI, TinyML, federated learning, and large language models in resource-constrained environments.Integrates blockchain-based architectures and smart contracts for secure data sharing, AI model provenance, and accountability.Addresses emerging security challenges such as adversarial AI attacks, privacy risks in medical IoMT, and post-quantum security for 6G networks.Demonstrates real-world applications and future directions through use cases in intelligent transportation, healthcare, smart cities, and sustainable green AI systems.