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On Generalisability of Machine Learning-based Network Intrusion
  Detection Systems

On Generalisability of Machine Learning-based Network Intrusion Detection Systems

9 May 2022
S. Layeghy
Marius Portmann
    AAML
ArXiv (abs)PDFHTML

Papers citing "On Generalisability of Machine Learning-based Network Intrusion Detection Systems"

3 / 3 papers shown
Title
DI-NIDS: Domain Invariant Network Intrusion Detection System
DI-NIDS: Domain Invariant Network Intrusion Detection System
S. Layeghy
Mahsa Baktash
Marius Portmann
OODAAML
29
26
0
15 Oct 2022
Generalizing intrusion detection for heterogeneous networks: A
  stacked-unsupervised federated learning approach
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
G. Bertoli
Lourencco Alves Pereira Junior
A. Santos
O. Saotome
FedML
80
60
0
01 Sep 2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on
  Graph Neural Networks
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville
Wai Weng Lo
S. Layeghy
Marius Portmann
46
95
0
14 Jul 2022
1