Semi-supervised Time Series Anomaly Detection Model Based on LSTM Autoencoder.
Hui XiaoDonghai GuanRui ZhaoWeiwei YuanYaofeng TuAsad Masood KhattakPublished in: ICBDS (2020)
Keyphrases
- anomaly detection
- semi supervised
- unsupervised anomaly detection
- detect anomalies
- intrusion detection
- unsupervised learning
- semi supervised learning
- detecting anomalies
- network intrusion detection
- anomalous behavior
- supervised learning
- recurrent neural networks
- labeled data
- network traffic
- intrusion detection system
- behavior analysis
- computer security
- detecting anomalous
- pairwise
- network anomaly detection
- network security
- active learning
- pattern recognition
- negative selection algorithm
- one class support vector machines
- data mining techniques
- malware detection
- cumulative sum
- neural network