Adaptive anomaly detection system based on machine learning algorithms in an industrial control environment.
Jan VávraMartin HromadaLudek LukásJacek DworzeckiPublished in: Int. J. Crit. Infrastructure Prot. (2021)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- learning algorithm
- intrusion detection
- machine learning
- machine learning methods
- anomalous behavior
- decision trees
- learning problems
- intrusion detection system
- network intrusion detection
- adaptive control
- machine learning approaches
- unsupervised anomaly detection
- detecting anomalies
- one class support vector machines
- network traffic
- network anomaly detection
- learning tasks
- machine learning models
- unsupervised learning
- data mining
- detect anomalies
- active learning
- network security
- neural network
- dimensionality reduction
- normal behavior
- support vector machine
- object recognition
- feature extraction
- detecting anomalous