Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.
Michael KölleAfrae AhouziPascal DebusRobert MüllerDaniëlle SchumanClaudia Linnhoff-PopienPublished in: ICAART (2) (2024)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- intrusion detection
- network traffic
- detecting anomalies
- network intrusion detection
- unsupervised learning
- network anomaly detection
- anomalous behavior
- detecting anomalous
- negative selection algorithm
- computer security
- intrusion detection system
- cumulative sum
- behavior analysis
- pattern recognition
- object recognition
- network intrusion
- detect anomalies
- data mining
- ensemble methods
- data mining techniques
- maximum likelihood