A Novel Multivariate Time-Series Anomaly Detection Approach Using an Unsupervised Deep Neural Network.
Peihai ZhaoXiaoyan ChangMimi WangPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- multivariate time series
- neural network
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- multivariate time series data
- network intrusion detection
- dimension reduction
- anomalous behavior
- temporal data
- detecting anomalies
- network traffic
- semi supervised
- artificial neural networks
- temporal patterns
- categorical data
- pattern recognition
- intrusion detection system
- self organizing maps
- supervised learning
- one class support vector machines
- spatial structure
- autoregressive
- negative selection algorithm
- spatial data
- data structure