Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis.
Giampaolo BovenziAlessio FoggiaSalvatore SantellaAlessandro TestaValerio PersicoAntonio PescapèPublished in: ICC (2022)
Keyphrases
- anomaly detection
- data analysis
- data sets
- intrusion detection
- data assimilation
- data processing
- data sources
- probabilistic model
- network anomaly detection
- network intrusion
- detecting anomalies
- correlation analysis
- detect anomalies
- normal behavior
- model selection
- network security
- network traffic
- network intrusion detection
- data mining methods
- anomalous behavior
- intrusion detection system
- unsupervised learning