Harnessing AI for Network Security and DDoS Attack Detection

Abstract

This paper investigates the utilization of artificial intelligence (AI) techniques for network security and detection of Distributed Denial of Service (DDoS)
attacks. It explores the role of AI algorithms, machine learning models, and anomaly detection techniques in enhancing network security, mitigating cyber threats, and improving incident response in the face of DDoS attacks. The paper discusses real-world implementations and case studies showcasing the effectiveness of AI in network security and DDoS attack detection.