DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications.
Dongqi HanZhiliang WangWenqi ChenYing ZhongSu WangHan ZhangJiahai YangXingang ShiXia YinPublished in: CCS (2021)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection
- unsupervised learning
- computer security
- network security
- network intrusion detection
- malware detection
- intrusion detection system
- network traffic
- anomalous behavior
- information security
- detecting anomalies
- machine learning
- mental models
- one class support vector machines
- network anomaly detection
- supervised learning
- detect anomalies
- intrusion prevention
- dimensionality reduction
- active learning
- negative selection algorithm
- semi supervised
- computer vision
- real world
- data sets