IoT Equipment Monitoring System Based on C5.0 Decision Tree and Time-Series Analysis

Abnormal traffic and vulnerability attack monitoring play an important role in today's Internet of Things (IoT) applications. The existing solutions are usually based on machine learning for traffic, and its disadvantage is that a large number of manual operations are needed in the classificati...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.36637-36648
Hauptverfasser:	Zhu, Biaokai, Hou, Xinyi, Liu, Sanman, Ma, Wanli, Dong, Meiya, Wen, Haibin, Wei, Qing, Du, Sixuan, Zhang, Yufeng
Format:	Artikel
Sprache:	eng
Schlagworte:	C5.0 decision tree Data analysis Data models Decision analysis Decision trees Deep learning Internet of Things IoT device identification Machine learning Monitoring Monitoring systems Real-time systems Security Time series Time series analysis Time-series model traffic feature extraction Traffic models
Online-Zugang:	Volltext
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