Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders.
Qingning LuWenzhong LiChuanze ZhuYizhou ChenYinke WangZhijie ZhangLinshan ShenSanglu LuPublished in: ACML (2022)
Keyphrases
- anomaly detection
- multiscale
- detect anomalies
- intrusion detection
- anomalous behavior
- detecting anomalies
- unsupervised anomaly detection
- network intrusion detection
- network traffic
- computer security
- intrusion detection system
- network security
- image processing
- detecting anomalous
- recurrent neural networks
- behavior analysis
- malware detection
- denoising
- training data
- one class support vector machines
- network anomaly detection
- activity recognition
- self organizing maps
- unsupervised learning
- feature extraction
- data mining