Peregrine: ML-based Malicious Traffic Detection for Terabit Networks

Malicious traffic detectors leveraging machine learning (ML), namely those incorporating deep learning techniques, exhibit impressive detection capabilities across multiple attacks. However, their effectiveness becomes compromised when deployed in networks handling Terabit-speed traffic. In practice...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	João Romeiras Amado, Pereira, Francisco, Pissarra, David, Signorello, Salvatore, Correia, Miguel, Ramos, Fernando M V
Format:	Artikel
Sprache:	eng
Schlagworte:	Computation Deep learning Machine learning Networks Sampling Sensors
Online-Zugang:	Volltext
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