NorCLR: A Normality-Aggregated Contrastive Learning Framework for Mechanical Anomaly Detection.
Chenye HuJiaxin RenJingyao WuHong XuChuang SunRuqiang YanPublished in: I2MTC (2024)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- learning algorithm
- learning process
- network intrusion detection
- reinforcement learning
- detecting anomalies
- probabilistic model
- anomalous behavior
- genetic algorithm
- network anomaly detection
- computer vision
- active learning
- network traffic
- normal traffic
- data sets