Deep Learning for Anomaly Detection: A Review.
Guansong PangChunhua ShenLongbing CaoAnton van den HengelPublished in: ACM Comput. Surv. (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- unsupervised feature learning
- detecting anomalies
- anomalous behavior
- machine learning
- network intrusion detection
- network traffic
- detect anomalies
- intrusion detection system
- one class support vector machines
- negative selection algorithm
- weakly supervised
- mental models
- supervised learning
- network anomaly detection
- dimensionality reduction
- data warehouse
- reinforcement learning
- real world