Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection

Recent years have witnessed an in-depth proliferation of the Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing rate of IoT device usage is associated with rising security risks resulting from malicious network flows during dat...

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Detalles Bibliográficos
Autores principales: Zegarra Rodríguez, Demóstenes, Daniel Okey, Ogobuchi, Maidin, Siti Sarah, Umoren Udo, Ekikere, Kleinschmidt, João Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578588/
https://www.ncbi.nlm.nih.gov/pubmed/37844095
http://dx.doi.org/10.1371/journal.pone.0286652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578588/
https://www.ncbi.nlm.nih.gov/pubmed/37844095
http://dx.doi.org/10.1371/journal.pone.0286652

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