AI-powered DDoS attack detection and mitigation surveyed

A new survey paper published on arXiv details the latest advancements in using artificial intelligence to combat distributed denial-of-service (DDoS) attacks. The paper categorizes current AI-based detection methods and discusses available datasets crucial for training these systems, including techniques like adversarial training. It also surveys AI-driven mitigation strategies and identifies several open research directions in the field. AI

RANK_REASON The cluster contains a survey paper on AI for cybersecurity published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• distributed denial-of-service attack
• Paul Irofti

• paper
• safety

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