DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems.
Franz Kevin StehleWainer VandelliFelix ZahnGiuseppe AvolioHolger FröningPublished in: ICS (2024)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection
- unsupervised learning
- network traffic
- network anomaly detection
- detect anomalies
- anomalous behavior
- detecting anomalies
- intrusion detection system
- network intrusion detection
- one class support vector machines
- machine learning
- connectionist systems
- k means
- maximum likelihood
- decision trees
- negative selection algorithm
- data sets
- intrusion prevention