A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification.
Akbar TelikaniAmir H. GandomiKim-Kwang Raymond ChooJun ShenPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- cost sensitive
- network traffic
- deep learning
- cost sensitive classification
- cost sensitive learning
- multi class
- misclassification costs
- class imbalance
- intrusion detection
- anomaly detection
- unsupervised learning
- active learning
- class distribution
- fraud detection
- machine learning
- support vector machine
- intrusion detection system
- feature selection
- naive bayes
- classification accuracy
- pattern recognition
- support vector
- object recognition
- model selection
- text classification
- feature extraction
- image processing
- principal component analysis