An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data.
Hajar HomayouniSudipto GhoshIndrakshi RayShlok GondaliaJerry DugganMichael G. KahnPublished in: IEEE BigData (2020)
Keyphrases
- anomaly detection
- intrusion detection
- higher order
- detect anomalies
- recurrent neural networks
- anomalous behavior
- network traffic
- intrusion detection system
- one class support vector machines
- unsupervised anomaly detection
- unsupervised learning
- network intrusion detection
- detecting anomalies
- computer security
- detecting anomalous
- network security
- network anomaly detection
- network intrusion
- active learning
- data analysis
- machine learning
- negative selection algorithm
- pattern recognition