RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series.
Farzaneh KhoshnevisanZhewen FanPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- multivariate time series
- intrusion detection
- detecting anomalies
- multivariate time series data
- anomalous behavior
- categorical data
- network intrusion detection
- dimension reduction
- intrusion detection system
- temporal data
- autoregressive
- temporal patterns
- network traffic
- unsupervised learning
- detect anomalies
- data structure
- negative selection algorithm
- training data
- knowledge discovery