Systematic and Efficient Anomaly Detection Framework using Machine Learning on Public ICS Datasets.
Baptiste MillotJulien FrancqFranck SicardPublished in: CSR (2021)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network traffic
- unsupervised anomaly detection
- network anomaly detection
- detecting anomalies
- unsupervised learning
- feature selection
- network intrusion detection
- anomalous behavior
- computer security
- behavior analysis
- data sets
- data assimilation
- information extraction
- neural network
- computer vision
- real world
- detecting anomalous
- network security
- intrusion detection system
- data mining
- text classification
- computational intelligence
- support vector machine
- probabilistic model
- data analysis