Robust Anomaly Detection for Multivariate Data of Spacecraft Through Recurrent Neural Networks and Extreme Value Theory.
Gang XiangRuishi LinPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- recurrent neural networks
- multivariate data
- extreme value theory
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- high dimensional
- network anomaly detection
- one class support vector machines
- intrusion detection system
- principal components
- neural network
- categorical data
- feed forward
- parameter space
- echo state networks
- detect anomalies
- negative selection algorithm
- unsupervised learning
- computer vision
- low dimensional
- artificial neural networks
- pairwise
- data analysis
- support vector
- data sets