Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
Zhiwei WangZhengzhang ChenJingchao NiHui LiuHaifeng ChenJiliang TangPublished in: KDD (2021)
Keyphrases
- anomaly detection
- recurrent neural networks
- event sequences
- multiscale
- feed forward
- intrusion detection
- anomalous behavior
- echo state networks
- detecting anomalies
- intrusion detection system
- network traffic
- recurrent networks
- network intrusion detection
- neural network
- network anomaly detection
- one class support vector machines
- polynomial delay
- artificial neural networks
- detect anomalies
- temporal patterns
- event types
- unsupervised learning
- feature extraction
- negative selection algorithm
- data warehouse
- hidden markov models
- data streams
- image segmentation
- data mining