Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection.
Haiming YaoWenyong YuWei LuoZhenfeng QiangDonghao LuoXiaotian ZhangPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- anomalous behavior
- unsupervised learning
- network traffic
- learning process
- supervised learning
- data mining
- network anomaly detection
- behavior analysis
- learning algorithm
- model selection
- intrusion detection system
- pairwise
- network security
- training set
- malware detection
- reinforcement learning
- data sets
- unsupervised anomaly detection