Anomaly detection for high-dimensional dynamic data stream using stacked habituation autoencoder and union kernel density estimator.
Zhixia ZengRuohe HuangRuliang XiaoXinhong LinShi ZhangPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- anomaly detection
- high dimensional
- streaming data
- data streams
- intrusion detection
- kernel density estimator
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- one class support vector machines
- intrusion detection system
- network anomaly detection
- high dimensional data
- neural network
- detect anomalies
- similarity search
- dimensionality reduction
- negative selection algorithm
- data distribution
- concept drift
- low dimensional
- density estimators
- computer vision