DA-MTAD: Capturing Intra- and Inter-Metric Dependencies for Multivariate Time Series Anomaly Detection.
Zhaoyang MengXinning ZhuFeng PanZheng HuPublished in: SMC (2023)
Keyphrases
- supervised learning
- anomaly detection
- multivariate time series
- unsupervised learning
- intrusion detection
- dimension reduction
- network traffic
- detecting anomalies
- multivariate time series data
- active learning
- network intrusion detection
- machine learning
- training data
- temporal data
- anomalous behavior
- learning algorithm
- one class support vector machines
- intrusion detection system
- spatial structure
- detect anomalies
- autoregressive
- negative selection algorithm
- support vector machine
- categorical data
- normal behavior
- activity recognition
- temporal patterns
- computer vision
- data sets