How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection.
Louis JensenJayme FosaBen TeitelbaumPeter ChinPublished in: ICMLA (2021)
Keyphrases
- anomaly detection
- detect anomalies
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- unsupervised anomaly detection
- computer security
- behavior analysis
- detecting anomalous
- denoising
- one class support vector machines
- intrusion detection system
- malware detection
- network intrusion
- pattern recognition
- unsupervised learning
- network anomaly detection
- negative selection algorithm
- semi supervised