Scaling Deep Learning Models for Spectrum Anomaly Detection.
Zhijing LiZhujun XiaoBolun WangBen Y. ZhaoHaitao ZhengPublished in: MobiHoc (2019)
Keyphrases
- anomaly detection
- deep learning
- intrusion detection
- unsupervised learning
- anomalous behavior
- detecting anomalies
- network traffic
- one class support vector machines
- deep architectures
- intrusion detection system
- network intrusion detection
- network anomaly detection
- detect anomalies
- active learning
- machine learning
- model selection
- co occurrence
- pattern recognition
- image processing