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: ICCV (2019)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- detect anomalies
- intrusion detection
- normal behavior
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- detection method
- abnormal behavior
- detection algorithm
- semi supervised
- unsupervised learning
- memory size
- computing power
- memory space
- pattern mining
- associative memory
- real world
- intrusion detection system
- association rules
- pattern recognition
- learning algorithm
- machine learning
- data mining