NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation.
Hao DongGaëtan FrusqueYue ZhaoEleni ChatziOlga FinkPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- semi supervised
- unsupervised anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised learning
- network traffic
- detect anomalies
- computer security
- semi supervised learning
- intrusion detection system
- network security
- one class support vector machines
- network intrusion detection
- anomaly based intrusion detection
- network anomaly detection
- detecting anomalous
- behavior analysis
- supervised learning
- active learning
- neural network
- labeled data
- pattern recognition
- malware detection
- text classification
- network intrusion
- data warehouse
- negative selection algorithm
- computer vision
- data sets