Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection.
Ming-Chang LeeJia-Chun LinSokratis K. KatsikasPublished in: CoRR (2024)
Keyphrases
- lightweight
- anomaly detection
- recurrent neural networks
- learning frameworks
- detect anomalies
- chaotic time series
- echo state networks
- intrusion detection
- detecting anomalies
- neural network
- anomalous behavior
- intrusion detection system
- feed forward
- artificial neural networks
- network intrusion detection
- network traffic
- network anomaly detection
- unsupervised learning
- one class support vector machines
- network security
- maximum likelihood
- active learning
- decision trees