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Unsupervised Anomaly Detectors to Detect Intrusions in the Current
  Threat Landscape

Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape

21 December 2020
T. Zoppi
Andrea Ceccarelli
Tommaso Capecchi
A. Bondavalli
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape"

2 / 2 papers shown
Title
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
175
5,293
0
11 Oct 2020
A Survey of Network-based Intrusion Detection Data Sets
A Survey of Network-based Intrusion Detection Data Sets
Markus Ring
Sarah Wunderlich
Deniz Scheuring
Dieter Landes
Andreas Hotho
50
563
0
06 Mar 2019
1