A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models.
Eftychia MakriGeorgios AgrafiotisAntonios LalasKonstantinos VotisDimitrios TzovarasPublished in: EuCNC/6G Summit (2024)
Keyphrases
- network devices
- learning models
- network layer
- classification models
- internet traffic
- machine learning algorithms
- machine learning
- network traffic
- ip address
- network congestion
- network management
- ip addresses
- packet filtering
- classification accuracy
- medium access
- decision trees
- learning algorithm
- packet size
- intermediate nodes
- semi supervised learning
- feature selection
- feature extraction
- learning tasks
- network resources
- application layer
- internet protocol
- learning problems
- route discovery
- supervised learning
- loss function
- end hosts
- support vector
- training set
- image classification
- text classification
- unsupervised learning
- svm classifier
- wireless sensor networks
- feature vectors
- support vector machine
- tcp ip
- higher order
- packet loss
- class labels