Improving the Routing Security in Wireless Sensor Networks using Neutrosophic Set and Machine Learning Models

Improving the Routing Security in Wireless Sensor Networks using Neutrosophic Set and Machine Learning Models

Numerous methods have been put forth to identify and safeguard routing data because Wireless Sensor Networks (WSNs) are susceptible to attacks during data transfer. To create an artificial intelligence-based attack detection system for WSNs, we provide a unique stochastic predictive machine learning...

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Bibliographic Details
Main Authors: Hanadi Ahmad Simmak, Ahmed A El-Douh, Tareef S Alkellezli, Rabih Sbera, Darin shafek, Ahmed Abdelhafeez
Format: Article
Language:English
Published: University of New Mexico 2025-07-01
Series:Neutrosophic Sets and Systems
Subjects:
bipolar neutrosophic numbers
uncertainty
wireless sensor networks
security. attacks
Online Access:https://fs.unm.edu/NSS/53WirelessSensor.pdf
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https://fs.unm.edu/NSS/53WirelessSensor.pdf

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