An efficient intrusion detection model based on convolutional spiking neural network

An efficient intrusion detection model based on convolutional spiking neural network

Abstract Many intrusion detection techniques have been developed to ensure that the target system can function properly under the established rules. With the booming Internet of Things (IoT) applications, the resource-constrained nature of its devices makes it urgent to explore lightweight and high-...

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Bibliographic Details
Main Authors: Zhen Wang, Fuad A. Ghaleb, Anazida Zainal, Maheyzah Md Siraj, Xing Lu
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Spiking neural network
Convolutional neural network
Intrusion detection
Cyber security
Deep learning
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-024-57691-x

Internet

https://doi.org/10.1038/s41598-024-57691-x

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