Adversarial Network Traffic: Towards Evaluating the Robustness of Deep-Learning-Based Network Traffic Classification.
Amir Mahdi SadeghzadehSaeed ShiraviRasool JaliliPublished in: IEEE Trans. Netw. Serv. Manag. (2021)
Keyphrases
- network traffic
- deep learning
- intrusion detection
- anomaly detection
- unsupervised learning
- restricted boltzmann machine
- machine learning
- network bandwidth
- internet traffic
- traffic data
- intrusion detection system
- pattern recognition
- feature space
- network intrusion detection
- feature extraction
- unsupervised feature learning
- data sets
- computer vision
- data mining
- long range dependence
- mental models
- text classification
- graphical models
- co occurrence
- object detection
- feature vectors
- training set
- decision trees
- feature selection