Machine Learning-Based Anomaly Detection for Multivariate Time Series With Correlation Dependency.
Shashank ChauhanSudong LeePublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- multivariate time series
- machine learning
- network anomaly detection
- intrusion detection
- multivariate time series data
- anomalous behavior
- unsupervised learning
- network traffic
- detecting anomalies
- network intrusion detection
- temporal data
- categorical data
- dimension reduction
- temporal patterns
- one class support vector machines
- intrusion detection system
- text mining
- detect anomalies
- information extraction
- data analysis
- negative selection algorithm
- learning algorithm
- reinforcement learning
- computer vision
- autoregressive
- feature selection
- decision trees
- active learning
- image segmentation
- neural network