A comprehensive overview of AI-driven behavioral analysis for security in Internet of Things
Hicham Yzzogh, Hiba Kandil, Hafssa Benaboud · 2024
The rapid expansion of Internet of Things (IoT) devices has brought in unprecedented connectivity and convenience. However, this surge in interconnectivity has concurrently given rise to multifaceted cybersecurity challenges, necessitating innovative solutions to fortify the integrity and confidentiality of IoT ecosystems. In this context, this chapter embarks on a comprehensive exploration of AI-driven behavioral analysis as a paradigm for enhancing IoT security, particularly in anomaly detection and predictive analysis. We provide an in-depth examination of AI Techniques for Behavioral Analysis, encompassing Machine Learning Algorithms, Deep Learning Models, and Federated Learning Frameworks, along with a review of related work.