An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.
Astha GargWenyu ZhangJules SamaranRamasamy SavithaChuan-Sheng FooPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- anomaly detection
- multivariate time series
- intrusion detection
- anomalous behavior
- detecting anomalies
- one class support vector machines
- network traffic
- network intrusion detection
- temporal data
- temporal patterns
- multivariate time series data
- negative selection algorithm
- detect anomalies
- intrusion detection system
- neural network
- machine learning
- random fields
- non stationary
- data sets