Explaining Deep Learning Models for Per-packet Encrypted Network Traffic Classification.
Luis GarciaGenevieve BartlettSrivatsan RaviHarun IbrahimWes HardakerErik KlinePublished in: M&N (2022)
Keyphrases
- network traffic
- learning models
- internet traffic
- classification models
- machine learning
- intrusion detection
- machine learning algorithms
- long range dependence
- anomaly detection
- normal traffic
- pattern recognition
- classification accuracy
- learning algorithm
- intrusion detection system
- semi supervised learning
- network management
- loss function
- feature space
- learning tasks
- feature selection
- decision trees
- network resources
- support vector
- learning problems
- feature vectors
- text classification
- feature set
- data analysis
- support vector machine
- dimensionality reduction
- network intrusion detection
- feature extraction
- image classification