A Method for Detecting LDoS Attacks in SDWSN Based on Compressed Hilbert–Huang Transform and Convolutional Neural Networks

Currently, Low-Rate Denial of Service (LDoS) attacks are one of the main threats faced by Software-Defined Wireless Sensor Networks (SDWSNs). This type of attack uses a lot of low-rate requests to occupy network resources and hard to detect. An efficient detection method has been proposed for LDoS a...

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Detalles Bibliográficos
Autores principales: Liu, Yazhi, Sun, Ding, Zhang, Rundong, Li, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223685/
https://www.ncbi.nlm.nih.gov/pubmed/37430658
http://dx.doi.org/10.3390/s23104745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223685/
https://www.ncbi.nlm.nih.gov/pubmed/37430658
http://dx.doi.org/10.3390/s23104745

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