A Novel Deep Learning Approach for Anomaly Detection of Time Series Data.
Zhiwei JiJiaheng GongJiarui FengPublished in: Sci. Program. (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detect anomalies
- detecting anomalies
- network traffic
- network intrusion detection
- machine learning
- anomalous behavior
- network anomaly detection
- mental models
- one class support vector machines
- intrusion detection system
- supervised learning
- negative selection algorithm
- dimensionality reduction
- object recognition
- model selection
- semi supervised
- weakly supervised
- pattern recognition
- image sequences
- image processing
- information retrieval
- neural network