Evaluating ML-based anomaly detection across datasets of varied integrity: A case study.
Adrián PekárRichard JozsaPublished in: Comput. Networks (2024)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- maximum likelihood
- network traffic
- detecting anomalies
- unsupervised anomaly detection
- computer security
- detecting anomalous
- unsupervised learning
- intrusion detection system
- negative selection algorithm
- network anomaly detection
- behavior analysis
- network intrusion detection
- network intrusion
- one class support vector machines
- detect anomalies
- network security
- real world
- probabilistic model
- pattern recognition
- machine learning