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Assessing the Impact of a Supervised Classification Filter on Flow-based
  Hybrid Network Anomaly Detection

Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection

10 October 2023
Dominik Macko
Patrik Goldschmidt
Peter Pistek
Daniela Chudá
ArXivPDFHTML

Papers citing "Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection"

1 / 1 papers shown
Title
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion
  Detection
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese
Pavel Laskov
J. Schneider
44
24
0
30 Apr 2023
1