Feature Selection for Machine Learning Based Anomaly Detection in Industrial Control System Networks.
Matti MantereMirko SailioSami NoponenPublished in: GreenCom (2012)
Keyphrases
- anomaly detection
- feature selection
- machine learning
- control system
- intrusion detection
- unsupervised learning
- network anomaly detection
- detecting anomalies
- text classification
- anomalous behavior
- network intrusion detection
- detecting anomalous
- dimensionality reduction
- sparse pca
- intrusion detection system
- support vector machine
- network security
- network traffic
- novelty detection
- model selection
- pattern recognition
- computer security
- unsupervised anomaly detection
- information extraction
- detect anomalies
- one class support vector machines
- data analysis
- social networks
- natural language processing
- behavior analysis
- active learning
- feature space
- learning problems
- computer networks
- neural network
- computational intelligence
- supervised learning
- learning algorithm