Transfer-Learning-Based Intrusion Detection Framework in IoT Networks

Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine learning (ML), especially deep Learning (DL), to improve the detection of cyberatta...

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Detalles Bibliográficos
Autores principales: Rodríguez, Eva, Valls, Pol, Otero, Beatriz, Costa, Juan José, Verdú, Javier, Pajuelo, Manuel Alejandro, Canal, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371036/
https://www.ncbi.nlm.nih.gov/pubmed/35957178
http://dx.doi.org/10.3390/s22155621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371036/
https://www.ncbi.nlm.nih.gov/pubmed/35957178
http://dx.doi.org/10.3390/s22155621

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