Log Drift Impact on Online Anomaly Detection Workflows.
Scott LuptonHironori WashizakiNobukazu YoshiokaYoshiaki FukazawaPublished in: PROFES (1) (2023)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- intrusion detection system
- detecting anomalies
- network intrusion detection
- network traffic
- data processing
- computer security
- network anomaly detection
- one class support vector machines
- pattern recognition
- detect anomalies
- network security
- unsupervised anomaly detection
- behavior analysis
- detecting anomalous
- unsupervised learning
- active learning
- data sets
- negative selection algorithm
- data assimilation
- cumulative sum
- intrusion prevention
- normal behavior
- concept drift
- network intrusion