Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection

Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection

DDoS (Distributed Denial of Service) attacks have now become a serious risk to the integrity and confidentiality of computer networks and systems, which are essential assets in today’s world. Detecting DDoS attacks is a difficult task that must be accomplished before any mitigation strategies can be...

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Bibliographic Details
Main Authors: Daniyal Alghazzawi, Omaimah Bamasag, Hayat Ullah, Muhammad Zubair Asghar
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
deep learning
DDoS attacks
hybrid deep learning
feature selection
Online Access:https://www.mdpi.com/2076-3417/11/24/11634

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