Accuracy evaluation of supervised machine learning classification models for wireless network traffic.
Elans GrabsErnests PetersonsDmitry EfrosininAleksandrs IpatovsJanis KlugaValentin SturmPublished in: Int. J. Commun. Networks Distributed Syst. (2022)
Keyphrases
- network traffic
- classification models
- supervised machine learning
- intrusion detection
- models built
- anomaly detection
- decision trees
- feature selection
- manually annotated
- intrusion detection system
- training data
- network bandwidth
- network intrusion detection
- machine learning
- feature set
- traffic data
- active learning
- classification accuracy
- wireless networks
- data mining
- supervised learning
- face recognition
- model selection
- feature space