A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques.
Georgios AgrafiotisEftychia MakriAntonios LalasKonstantinos VotisDimitrios TzovarasNikolaos TsampierisPublished in: EICC (2023)
Keyphrases
- deep learning
- ip addresses
- unsupervised learning
- label switching
- machine learning
- feature space
- unsupervised feature learning
- mental models
- feature selection
- support vector machine
- training set
- network devices
- end hosts
- ip address
- link failure
- training data
- weakly supervised
- training samples
- quality of service
- dimensionality reduction
- pattern recognition
- training examples
- d objects
- decision trees
- learning algorithm