A Service Selection Framework for Anomaly Detection in IoT Stream Data.
Zhongguo YangWeilong DingZhongmei ZhangHan LiMingzhu ZhangChen LiuPublished in: ICSS (2020)
Keyphrases
- anomaly detection
- intrusion detection
- stream data
- network traffic
- streaming data
- detecting anomalies
- service selection
- network intrusion detection
- data streams
- unsupervised learning
- sliding window
- intrusion detection system
- service oriented
- web services
- one class support vector machines
- real time
- response time
- support vector machine
- feature space
- training data
- web service selection
- network anomaly detection