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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Bibliográfalaš dieđut
Váldodahkkit: Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Mesopotamian Academic Press 2024
Fáttát:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Liŋkkat: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

Interneahtta

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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