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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Bibliographic Details
Main Authors: Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar
Format: Article
Language:English
Published: Mesopotamian Academic Press 2024
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Online Access: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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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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