Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model

Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model

As a result of the widespread adoption of the Internet of Things, there are now hundreds of millions of connected devices, increasing the likelihood that they may be vulnerable to various types of cyberattacks. In recent years, distributed denial of service (DDoS) has emerged as one of the most dest...

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Bibliographic Details
Main Authors: Ahmed Ahmim, Faiz Maazouzi, Marwa Ahmim, Sarra Namane, Imed Ben Dhaou
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Intrusion detection
DDoS detection
IDS
machine learning
deep learning
CNN
Online Access:https://ieeexplore.ieee.org/document/10295488/

Internet

https://ieeexplore.ieee.org/document/10295488/

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