Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey.
Zhipeng ChenZhang PengXueqiang ZouHaoqi SunPublished in: CNCERT (2021)
Keyphrases
- deep learning
- anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- network traffic
- network intrusion detection
- unsupervised feature learning
- detecting anomalies
- one class support vector machines
- machine learning
- weakly supervised
- anomalous behavior
- negative selection algorithm
- supervised learning
- mental models
- network anomaly detection
- intrusion detection system
- dimensionality reduction
- object detection
- real world
- expectation maximization
- semi supervised
- active learning
- data mining