Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Dong GongLingqiao LiuVuong LeBudhaditya SahaMoussa Reda MansourSvetha VenkateshAnton van den HengelPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- detect anomalies
- intrusion detection
- normal behavior
- network traffic
- semi supervised
- detection algorithm
- intrusion detection system
- anomalous behavior
- detection method
- network intrusion detection
- automatic detection
- detecting anomalies
- data mining
- computing power
- deep learning
- pattern recognition
- unsupervised learning
- neural network
- multi dimensional
- memory usage
- memory size
- dimensionality reduction
- computer vision