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An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks. (arXiv:2204.13814v1 [cs.NI])
May 2, 2022, 1:20 a.m. | Hiba Tabbaa, Samir Ifzarne, Imad Hafidi
cs.CR updates on arXiv.org arxiv.org
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 for a wide range
of fields and applications. However, WSN has been proven to be vulnerable to
security breaches, the harsh and unattended deployment of these networks,
combined with their constrained resources and the volume of …
More from arxiv.org / cs.CR updates on arXiv.org
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