Anomaly detection in NetFlow network traffic using supervised machine learning algorithms.
Igor FosicDrago ZagarKresimir GrgicVisnja KrizanovicPublished in: J. Ind. Inf. Integr. (2023)
Keyphrases
- network traffic
- anomaly detection
- supervised machine learning algorithms
- intrusion detection
- machine learning algorithms
- network intrusion detection
- computer networks
- network security
- intrusion detection system
- detecting anomalies
- anomalous behavior
- detecting anomalous
- traffic data
- internet traffic
- labeled data
- traffic analysis
- detect anomalies
- one class support vector machines
- network intrusion
- unsupervised learning
- network anomaly detection
- data mining
- active learning
- k means
- maximum entropy
- machine learning