Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning

Stochastic Gradient Descent Intrusions Detection for Wireless Sensor Network Attack Detection System Using Machine Learning

Communication in cyber-physical systems relies heavily on Wireless Sensor Networks (WSNs), which have numerous uses including ambient monitoring, object recognition, and data transmission. However, they are vulnerable to cyberattacks because they are connected to the IoT. In order to combat the diff...

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Bibliographic Details
Main Authors: Hadeel M. Saleh, Hend Marouane, Ahmed Fakhfakh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Intrusion detection
wireless sensor network
machine learning
accuracy
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/10379637/

Internet

https://ieeexplore.ieee.org/document/10379637/

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