Semisupervised anomaly detection of multivariate time series based on a variational autoencoder.
Ningjiang ChenHuan TuXiaoyan DuanLiangqing HuChengxiang GuoPublished in: Appl. Intell. (2023)
Keyphrases
- probabilistic model
- anomaly detection
- multivariate time series
- semi supervised
- intrusion detection
- multivariate time series data
- unsupervised learning
- detecting anomalies
- network traffic
- dimension reduction
- detect anomalies
- network intrusion detection
- categorical data
- image segmentation
- temporal patterns
- temporal data
- anomalous behavior
- intrusion detection system
- optical flow
- spatial structure
- pairwise
- neural network
- model selection
- information extraction
- normal behavior
- reinforcement learning
- one class support vector machines
- negative selection algorithm
- cluster analysis
- data warehouse
- object recognition