Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks.
Jianfeng HuangChenyang LiYimin LinShiguo LianPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection
- novelty detection
- network intrusion detection
- computer security
- intrusion detection system
- network traffic
- semi supervised
- anomalous behavior
- supervised learning
- detecting anomalies
- one class support vector machines
- network structure
- network intrusion
- malware detection
- behavior analysis
- generative model
- cumulative sum
- computer networks
- social networks
- detecting anomalous
- data mining
- active learning
- decision trees
- detect anomalies
- bayesian networks
- data sets
- pattern recognition
- negative selection algorithm
- feature space
- high dimensional
- neural network