Real-Time Threat Detection and Anomaly Monitoring Using AI-Enhanced IoT Drones on Blockchain Networks

The convergence of Artificial Intelligence (AI), IoT-enabled drones, and blockchain offers a powerful framework for real-time threat detection in high-risk environments. This chapter presents a decentralized surveillance system that integrates AI-based edge computing for autonomous anomaly detection, blockchain for immutable data storage, and smart contracts for automated threat response. Case studies in border control and industrial hazard zones highlight gains in detection accuracy, response time, and operational efficiency. The framework also supports multi-stakeholder collaboration via decentralized ledgers and live dashboards, promoting transparency and informed decision-making. Future directions include swarm intelligence, federated learning, and lightweight consensus mechanisms to enhance scalability and data integrity. This unified system ensures a secure, intelligent, and adaptive solution for mission-critical operations and infrastructure monitoring.