End-to-End Transferable Anomaly Detection via Multi-Spectral Cross-Domain Representation Alignment.
Shuang LiShugang LiMixue XieKaixiong GongJianxin ZhaoChi Harold LiuGuoren WangPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- end to end
- anomaly detection
- cross domain
- multispectral
- intrusion detection
- detecting anomalies
- remote sensing
- anomalous behavior
- remote sensing images
- network intrusion detection
- knowledge transfer
- intrusion detection system
- network traffic
- image analysis
- transfer learning
- image data
- one class support vector machines
- unsupervised learning
- negative selection algorithm
- computer vision
- network security
- information systems
- text classification
- data sets