Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set.
Simon Duque AntónSuneetha KanoorDaniel FraunholzHans Dieter SchottenPublished in: ARES (2018)
Keyphrases
- anomaly detection
- machine learning
- data sets
- learning algorithm
- intrusion detection
- one class support vector machines
- network anomaly detection
- network traffic
- detecting anomalies
- network intrusion detection
- real world
- anomalous behavior
- computer security
- machine learning algorithms
- training data
- detecting anomalous
- unsupervised anomaly detection
- unsupervised learning
- model selection
- intrusion detection system
- information extraction
- network security
- fraud detection
- data points
- behavior analysis
- training set
- feature selection
- computer vision
- genetic algorithm