AI-Driven Cybersecurity for IoT Devices

Abstract

The rapid expansion of the Internet of Things (IoT) has transformed modern digital infrastructures by enabling seamless connectivity among billions of smart devices across healthcare, industrial automation, smart cities, transportation, agriculture, and consumer applications. While IoT improves operational efficiency and intelligent decision-making, its heterogeneous architecture, resource-constrained devices, and continuous connectivity significantly increase the exposure to sophisticated cyber threats. Conventional security mechanisms primarily rely on predefined signatures and static rule-based detection techniques, which are often insufficient for identifying zero-day attacks, evolving malware, distributed denial-of-service attacks, and anomalous device behavior. Artificial Intelligence (AI) has emerged as a promising technology for strengthening IoT cybersecurity through intelligent threat detection, adaptive authentication, anomaly detection, malware classification, behavioral analysis, and automated incident response. This paper presents a comprehensive study of AI-driven cybersecurity for IoT devices by examining the integration of machine learning and deep learning techniques into modern IoT security architectures. The proposed framework incorporates intelligent intrusion detection, continuous behavioral monitoring, secure device authentication, dynamic access control, and automated threat mitigation to enhance the overall security posture of IoT environments. Furthermore, the study discusses implementation challenges including computational overhead, model scalability, data privacy, adversarial attacks, and resource limitations associated with embedded IoT devices. A comparative analysis demonstrates that AI-based security approaches improve detection accuracy, reduce false alarms, enhance response time, and strengthen resilience against evolving cyber threats when compared with conventional security mechanisms. The findings indicate that integrating artificial intelligence with cybersecurity provides a scalable and adaptive defense mechanism capable of protecting next-generation IoT ecosystems while maintaining confidentiality, integrity, and availability of connected devices.