AI-DRIVEN OS SECURITY SYSTEMS AND EDGE OS

Abstract

This paper explores AI-driven solutions for securing operating systems (OS) and edge computing against evolving threats. Leveraging predictive analytics, federated learning, and lightweight AI, our approach addresses limitations in traditional methods. Compared to prior work, we demonstrate enhanced anomaly detection, privacy preservation, and scalability, offering a robust framework for modern OS security architectures.