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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mesopotamian Academic Press
2024
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| Subjects: | |
| 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 http://umpir.ump.edu.my/id/eprint/41766/ https://doi.org/10.58496/MJCS/2024/004 |
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