Holdings: A secure edge computing model using machine learning and IDS to detect and isolate intruders

A secure edge computing model using machine learning and IDS to detect and isolate intruders

The article presents a secure edge computing model that utilizes machine learning for intrusion detection and isolation. It addresses the security challenges arising from the rapid expansion of IoT and edge computing. The proposed Intrusion Detection System (IDS) combines Linear Discriminant Analysi...

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Bibliographic Details
Main Authors:	Mahadevappa P., Murugesan R.K., Al-amri R., Thabit R., Al-Ghushami A.H., Alkawsi G.
Other Authors:	57222119090
Format:	Article
Published:	Elsevier B.V. 2025
Subjects:	adult article diagnostic test accuracy study discriminant analysis human learning logistic regression analysis machine learning major clinical study male
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A secure edge computing model using machine learning and IDS to detect and isolate intruders

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