Adversarial Training for Deep Learning-based Intrusion Detection Systems.
Islam DebichaThibault DebattyJean-Michel DricotWim MeesPublished in: CoRR (2021)
Keyphrases
- deep learning
- intrusion detection system
- intrusion detection
- deep architectures
- restricted boltzmann machine
- network security
- anomaly detection
- computer networks
- unsupervised learning
- network traffic
- network intrusion detection
- distributed intrusion detection
- unsupervised feature learning
- machine learning
- computer systems
- intrusion prevention
- weakly supervised
- training set
- network intrusion detection systems
- mental models
- deep belief networks
- alert correlation
- supervised learning
- object detection
- cyber attacks
- online learning
- training examples
- image segmentation
- computer vision
- attack scenarios
- data mining techniques