Leveraging Artificial Intelligence for Enhanced Detection and Mitigation of DDoS Attacks

Abstract

The advent of Artificial Intelligence (AI) has significantly transformed cybersecurity, providing advanced mechanisms for threat detection and mitigation. Distributed Denial of Service (DDoS) attacks, one of the most common and disruptive cyber threats, have evolved into more sophisticated and harder-to-mitigate forms. AI has emerged as a crucial tool in combating these attacks by identifying patterns, detecting anomalies, and responding in real time. This paper explores the role of AI in detecting and mitigating DDoS attacks, presents an experimental implementation of AI-based detection, and discusses key algorithms used in combating such attacks. Additionally, a comparative analysis between traditional and AI-based methods is conducted to highlight the effectiveness, challenges, and future potential of AI in cybersecurity.