Data-Driven Anomaly Detection Approach for Time-Series Streaming Data.
Minghu ZhangJianwen GuoXin LiRui JinPublished in: Sensors (2020)
Keyphrases
- anomaly detection
- streaming data
- data driven
- streaming time series
- detect anomalies
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- intrusion detection system
- unsupervised learning
- network anomaly detection
- non stationary
- data streams
- one class support vector machines
- negative selection algorithm
- network security
- data management
- computer vision
- machine learning