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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 →

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AI-powered DDoS attack detection and mitigation surveyed

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

  1. arXiv cs.AI TIER_1 English(EN) · Alexandru Apostu, Silviu Gheorghe, Andrei H\^iji, Nicolae Cleju, Andrei P\u{a}tra\c{s}cu, Cristian Rusu, Radu Ionescu, Paul Irofti ·

    Detecting and Mitigating DDoS Attacks with AI: A Survey

    arXiv:2503.17867v3 Announce Type: replace-cross Abstract: Distributed Denial of Service attacks represent an active cybersecurity research problem. Recent research shifted from static rule-based defenses towards AI-based detection and mitigation. This comprehensive survey covers …