Def-IDS: An Ensemble Defense Mechanism Against Adversarial Attacks for Deep Learning-based Network Intrusion Detection.
Jianyu WangJianli PanIsmail AlQermYuanni LiuPublished in: ICCCN (2021)
Keyphrases
- network intrusion detection
- deep learning
- intrusion detection
- intrusion detection system
- network intrusion
- network intrusions
- network attacks
- network traffic data
- network security
- network anomaly detection
- anomaly detection
- unsupervised learning
- network traffic
- unsupervised feature learning
- machine learning
- computer networks
- mental models
- alert correlation
- fraud detection
- dos attacks
- data mining
- weakly supervised
- information security
- training data
- learning algorithm
- decision trees
- data mining techniques
- object detection
- feature selection