Quantum-Secured AI-IoT Frameworks

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming digital ecosystems, offering automation, predictive intelligence, and real-time decision-making. However, increasing interconnectivity raises serious concerns about data security, privacy, and trust. This chapter introduces the AI-IoT Security Integration Framework (AISIF), a multi-layered architecture combining AI-based analytics, blockchain-led trust management, and quantum-secure encryption to build resilient and privacy-preserving systems. The framework employs federated learning for secure data collaboration, Quantum Key Distribution (QKD) for encryption, and explainable AI for transparent decision-making. Through two case studies smart healthcare and smart grid systems the framework demonstrates improvements in anomaly detection accuracy, latency reduction, and intrusion response efficiency. The findings highlight that integrating AI intelligence with quantum security ensures sustainable, trustworthy, and adaptive IoT infrastructures for future intelligent environments.

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