Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study.
Adrián PekárRichard JozsaPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- intrusion detection system
- maximum likelihood
- network traffic
- network intrusion detection
- network anomaly detection
- behavior analysis
- unsupervised anomaly detection
- computer security
- detecting anomalous
- malware detection
- network security
- data sets
- unsupervised learning
- detect anomalies
- network intrusion
- one class support vector machines
- data mining techniques
- reinforcement learning
- information security
- negative selection algorithm