An Area-Efficient Recurrent Neural Network Core for Unsupervised Time-Series Anomaly Detection.
Takuya SakumaHiroki MatsutaniPublished in: IEICE Trans. Electron. (2021)
Keyphrases
- anomaly detection
- recurrent neural networks
- unsupervised anomaly detection
- intrusion detection
- detect anomalies
- unsupervised learning
- network intrusion detection
- network traffic
- intrusion detection system
- network anomaly detection
- computer security
- detecting anomalies
- anomalous behavior
- one class support vector machines
- detecting anomalous
- neural network
- complex valued
- behavior analysis
- echo state networks
- network security
- recurrent networks
- hidden layer
- feed forward
- supervised learning
- reservoir computing
- machine learning
- malware detection
- support vector
- negative selection algorithm
- image segmentation
- connectionist systems