Clustering-based anomaly detection in multivariate time series data.
Jinbo LiHesam IzakianWitold PedryczIqbal JamalPublished in: Appl. Soft Comput. (2021)
Keyphrases
- anomaly detection
- multivariate time series data
- multivariate time series
- stochastic processes
- intrusion detection
- subspace clustering
- temporal data
- detecting anomalies
- anomalous behavior
- predicting future
- network intrusion detection
- network traffic
- autoregressive
- intrusion detection system
- network anomaly detection
- temporal patterns
- unsupervised learning
- one class support vector machines
- maximum entropy
- clustering algorithm
- data analysis
- negative selection algorithm
- pattern recognition