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Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks

The distributed denial of service (DDoS) attack is one of the most pernicious threats in cyberspace. Catastrophic failures over the past two decades have resulted in catastrophic and costly disruption of services across all sectors and critical infrastructure. Machine-learning-based approaches have...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan Shiva
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2024-02-01
Rangatū:Algorithms
Ngā marau:
Urunga tuihono:https://www.mdpi.com/1999-4893/17/3/99
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