An intrusion detection system for DDoS flooding attacks on IPv6 networks using deep learning techniques

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An intrusion detection system for DDoS flooding attacks on IPv6 networks using deep learning techniques

The news about distributed denial of service (DDoS) attacks is rapidly increased around the world. Many services of companies and/or governments are victims of the attack. The main purpose of DDoS attacks is to overload the service for a long time, rather than to steal money or data from the targets...

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Bibliographic Details
Main Author:	Ahmed Marwan, Idrees Aleesa
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Online Access:	http://eprints.uthm.edu.my/1771/ http://eprints.uthm.edu.my/1771/2/AHMED%20MARWAN%20IDREES%20ALEESA%20-%20declaration.pdf http://eprints.uthm.edu.my/1771/1/AHMED%20MARWAN%20IDREES%20ALEESA%20-%2024p.pdf http://eprints.uthm.edu.my/1771/3/AHMED%20MARWAN%20IDREES%20ALEESA%20-%20fulltext.pdf

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