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...
Main Authors: | Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar |
---|---|
Format: | Article |
Sprog: | English |
Udgivet: |
Mesopotamian Academic Press
2024
|
Fag: | |
Online adgang: | 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 |
Lignende værker
-
Distributed denial of service attack Detection in IoT networks using deep learning and feature fusion : A review
af: Nuhu Ahmad, Abdul hafiz, et al.
Udgivet: (2024) -
Internet of Things (IoT) Based Fire Alert Monitoring System for Car Parking
af: Anis Farihan, Mat Raffei, et al.
Udgivet: (2020) -
Feature Selection of Denial-of-Service Attacks Using Entropy and Granular Computing
af: Khan, Suleman, et al.
Udgivet: (2018) -
An intelligence technique for denial of service (DoS) attack detection
af: Wan Nurulsafawati, Wan Manan, et al.
Udgivet: (2018) -
A multi-filter feature selection in detecting distributed denial-of-service attack
af: Yon, Yi Jun, et al.
Udgivet: (2019)