Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection.
Laurens D'hoogeMiel VerkerkenTim WautersFilip De TurckBruno VolckaertPublished in: Sensors (2023)
Keyphrases
- intrusion detection
- data sets
- anomaly detection
- training data
- network intrusion detection
- data analysis
- network traffic
- data processing
- machine learning
- machine learning models
- data mining methods
- knowledge discovery
- supervised learning
- high detection rate
- historical data
- labeled data
- multi class
- data points
- data sources
- feature selection
- learning algorithm
- databases