ConViTML: A Convolutional Vision Transformer-Based Meta-Learning Framework for Real-Time Edge Network Traffic Classification.
Lu YangSongtao GuoDefang LiuYue ZengXianlong JiaoYuhao ZhouPublished in: IEEE Trans. Netw. Serv. Manag. (2024)
Keyphrases
- network traffic
- meta learning
- intrusion detection
- anomaly detection
- machine learning
- model selection
- classification accuracy
- decision trees
- feature selection
- learning tasks
- text classification
- data sets
- support vector
- intrusion detection system
- machine learning methods
- machine learning algorithms
- database systems
- software systems
- support vector machine
- feature extraction
- computer vision
- feature vectors
- inductive learning
- training set