Web: http://arxiv.org/abs/2107.12612

Jan. 21, 2022, 2:20 a.m. | Wesley Joon-Wie Tann, Ee-Chien Chang

cs.CR updates on arXiv.org arxiv.org

The recent advancements in machine learning have led to a wave of interest in
adopting online learning-based approaches for long-standing attack mitigation
issues. In particular, DDoS attacks remain a significant threat to network
service availability even after more than two decades. These attacks have been
well studied under the assumption that malicious traffic originates from a
single attack profile. Based on this premise, malicious traffic characteristics
are assumed to be considerably different from legitimate traffic. Consequently,
online filtering methods are …

attacks countermeasures ddos ddos attacks learning online poisoning

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