LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder Based Attention Mechanism.
Linming ZhangWenzhong LiZhijie ZhangQingning LuCe HouPeng HuTong GuiSanglu LuPublished in: KSEM (2021)
Keyphrases
- anomaly detection
- attention mechanism
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- visual attention
- anomalous behavior
- network traffic
- detecting anomalies
- network intrusion detection
- semi supervised
- intrusion detection system
- saliency map
- detecting anomalous
- visual attention model
- supervised learning
- cumulative sum
- multiscale
- negative selection algorithm
- real time
- detect anomalies
- high dimensional
- one class support vector machines
- network anomaly detection
- learning algorithm
- machine learning