End-To-End Self-tuning Self-supervised Time Series Anomaly Detection.
Boje DeforceMeng-Chieh LeeBart BaesensEstefanía Serral AsensioJaemin YooLeman AkogluPublished in: CoRR (2024)
Keyphrases
- end to end
- anomaly detection
- detect anomalies
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- network traffic
- admission control
- one class support vector machines
- congestion control
- detecting anomalous
- negative selection algorithm
- network security
- unsupervised learning
- network anomaly detection
- application layer
- feature extraction
- maximum likelihood