An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks

In today's modern world, the usage of technology is unavoidable and the rapid advances in the Internet and communication fields have resulted to expand the Wireless Sensor Network (WSN) technology. A huge number of sensing devices collect and/or generate numerous sensory data throughout time fo...

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Tabbaa, Hiba, Ifzarne, Samir, Hafidi, Imad
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Communications traffic Computer Science - Cryptography and Security Computer Science - Learning Computer Science - Networking and Internet Architecture Constraints Data analysis Data transmission Denial of service attacks Flooding Machine learning Sensors Wireless networks Wireless sensor networks
Online-Zugang:	Volltext
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