Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors.
Dongqi HanZhiliang WangYing ZhongWenqi ChenJiahai YangShuqiang LuXingang ShiXia YinPublished in: IEEE J. Sel. Areas Commun. (2021)
Keyphrases
- network intrusion
- machine learning
- network intrusion detection
- intrusion detection
- network security
- anomaly detection
- fraud detection
- object detection
- computer vision
- network traffic
- machine learning algorithms
- network intrusion detection systems
- text classification
- natural language processing
- supervised learning
- pattern recognition
- knowledge acquisition
- feature selection
- machine learning methods
- active learning
- databases
- data mining
- learning algorithm
- decision trees
- database
- feature extraction
- image segmentation
- reinforcement learning
- intrusion detection system
- semi supervised learning
- model selection
- data streams
- computer science
- knowledge discovery
- data analysis