Machine-Learning Based Prediction of Multiple Types of Network Traffic.
Aleksandra KnapinskaPiotr LechowiczKrzysztof WalkowiakPublished in: ICCS (1) (2021)
Keyphrases
- network traffic
- multiple types
- machine learning
- intrusion detection
- traffic data
- intrusion detection system
- anomaly detection
- real world
- co occurrence
- multiple features
- heterogeneous networks
- text classification
- pattern recognition
- reinforcement learning
- feature selection
- network intrusion detection
- supervised learning
- learning algorithm
- contextual information
- normal traffic
- decision trees
- long range dependence
- knn
- data sets
- user interests
- learning tasks
- non stationary
- information extraction