Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection

The increasing threat of Distributed DDoS attacks necessitates robust, big data-driven methods to detect and mitigate complex Network and Transport Layer (NTL) attacks. This paper proposes EffiGRU-GhostNet, a deep-learning ensemble model for high-accuracy DDoS detection with minimal resource consump...

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Bibliographic Details
Main Authors:	Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Future Internet
Subjects:	denial of service attack deep learning ensembler network layer security transport layer security IoT security cyber security
Online Access:	https://www.mdpi.com/1999-5903/16/12/458
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Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection

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