Detecting and Mitigating DDoS Attacks with AI: A Survey

This survey presents a comprehensive overview of AI-based detection and mitigation strategies for Distributed Denial of Service (DDoS) attacks. It includes a detailed taxonomy of DDoS attack types, utilizing both expert and AI-generated classifications, and discusses the importance of various datasets for training AI models, including considerations for adversarial training and data augmentation. The findings highlight the shift from traditional rule-based systems to AI methodologies, emphasizing the need for practitioners to explore these advanced techniques and the open research avenues identified for future development.