Integrating AI-Driven Anomaly Detection with Blockchain for Enhanced Security in IoT Networks
Keywords:
IoT Security, AI, Anomaly Detection, Blockchain, Reinforcement Learning, Adaptive Techniques, Explainable AI, Federated Learning, Privacy-Preserving, Multi-Modal Data Fusion.Abstract
The rapid proliferation of Internet of Things (IoT) devices has revolutionized various sectors, including healthcare, transportation, and smart cities. However, this advancement also presents significant security challenges due to the vulnerabilities inherent in IoT networks. Anomaly detection techniques powered by artificial intelligence (AI) have emerged as a vital approach for identifying and mitigating threats in these networks. This paper explores the application of AI-based anomaly detection methods in securing IoT networks, discussing various techniques, challenges, and future directions.
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