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

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

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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...

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Bibliografische gegevens
Hoofdauteurs:	Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	Mesopotamian Academic Press 2024
Onderwerpen:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online toegang:	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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