Log-based Anomaly Detection with Deep Learning: How Far Are We?
Van-Hoang LeHongyu ZhangPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- network intrusion detection
- machine learning
- network traffic
- anomalous behavior
- intrusion detection system
- network anomaly detection
- dimensionality reduction
- mental models
- detect anomalies
- negative selection algorithm
- weakly supervised
- semi supervised
- object recognition
- one class support vector machines
- activity recognition
- neural network
- real world