Applying of Machine Learning for Analyzing Network Traffic in the Conditions of an Unbalanced Data Sample.
Babyr RzayevIlya LebedevPublished in: IDC (2021)
Keyphrases
- network traffic
- unbalanced data
- machine learning
- intrusion detection
- anomaly detection
- intrusion detection system
- support vector machine
- traffic data
- data mining
- information extraction
- training data
- network intrusion detection
- supervised learning
- knowledge discovery
- text mining
- pattern recognition
- ridge regression
- data mining techniques
- feature selection
- unsupervised learning
- learning problems
- multi class
- active learning
- information retrieval
- normal traffic
- long range dependence