Network Traffic Anomaly Detection via Deep Learning.
Konstantina FotiadouTerpsichori-Helen N. VelivasakiArtemis C. VoulkidisDimitrios SkiasSofia TsekeridouTheodore B. ZahariadisPublished in: Inf. (2021)
Keyphrases
- deep learning
- anomaly detection
- network traffic
- unsupervised learning
- intrusion detection
- network security
- network intrusion detection
- intrusion detection system
- computer networks
- machine learning
- detecting anomalous
- mental models
- supervised learning
- traffic data
- normal traffic
- network intrusion
- computer vision
- detect anomalies
- semi supervised
- decision trees
- weakly supervised
- image segmentation
- data mining
- training data
- traffic patterns
- pattern recognition
- text mining