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Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation.

D'Jeff K. NkashamaJordan Masakuna FélicienArian SoltaniJean-Charles VerdierPierre-Martin TardifMarc FrappierFroduald Kabanza
Published in: CoRR (2024)
Keyphrases
  • data analysis
  • data sets
  • deep learning
  • image data
  • data sources
  • training data
  • computer systems
  • network anomaly detection
  • pairwise
  • knowledge discovery
  • anomaly detection