Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments

Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments

The swift proliferation of IoT devices has brought about a multitude of complex cyberattacks that breach network security and compromise user privacy. To address these threats, this paper proposes a synaptic intelligent convolutional neural network (SICNN) model for intrusion detection in dynamic Io...

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Bibliographic Details
Main Authors: Hui Chen, Zhendong Wang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Alexandria Engineering Journal
Subjects:
Intrusion detection system
Internet of Things
Synaptic intelligence
Convolutional neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824011700
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