A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization

Intrusion detection ensures that IoT can protect itself against malicious intrusions in extensive and intricate network traffic data. In recent years, deep learning has been extensively and effectively employed in IoT intrusion detection. However, the limited computing power and storage space of IoT...

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Detalles Bibliográficos
Autores principales: Wang, Zhendong, Chen, Hui, Yang, Shuxin, Luo, Xiao, Li, Dahai, Wang, Junling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557502/
https://www.ncbi.nlm.nih.gov/pubmed/37810346
http://dx.doi.org/10.7717/peerj-cs.1569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557502/
https://www.ncbi.nlm.nih.gov/pubmed/37810346
http://dx.doi.org/10.7717/peerj-cs.1569

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