Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data.
Anika TerbuchPaul O'LearyPeter AuerPublished in: I2MTC (2022)
Keyphrases
- anomaly detection
- measurement data
- machine learning
- detect anomalies
- network anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised learning
- network intrusion detection
- network traffic
- anomalous behavior
- intrusion detection system
- unsupervised anomaly detection
- data sets
- pattern recognition
- decision trees
- one class support vector machines
- knowledge acquisition
- support vector machine
- computer vision
- behavior analysis
- detecting anomalous
- negative selection algorithm
- computer security
- computational intelligence
- feature selection
- malware detection
- active learning
- network security
- expert knowledge
- learning algorithm
- data mining
- domain knowledge
- supervised learning
- neural network