AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network

Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and prevention at frontier areas using Wireless Sensor Networks (...

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Detalles Bibliográficos
Autores principales: Singh, Abhilash, Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep, Lee, Cheng-Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156733/
https://www.ncbi.nlm.nih.gov/pubmed/35641584
http://dx.doi.org/10.1038/s41598-022-13061-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156733/
https://www.ncbi.nlm.nih.gov/pubmed/35641584
http://dx.doi.org/10.1038/s41598-022-13061-z

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