Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review

The explosive growth of Internet of Things (IoT) devices has led to escalating threats from distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT environments pose unique security challenges, and intelligent solutions tailored for the IoT are needed to defend cri...

Полное описание

Библиографические подробности
Главные авторы: Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar
Формат: Статья
Язык:English
Опубликовано: Mesopotamian Academic Press 2024
Предметы:
Online-ссылка:http://umpir.ump.edu.my/id/eprint/41766/1/Distributed%20Denial%20of%20Service%20Attack%20Detection%20in%20IoT%20Networks%20using%20Deep%20Learning%20and%20Feature%20Fusion_%20A%20Review.pdf

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