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...
Saved in:
Main Author: | Ahmed Marwan, Idrees Aleesa |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2021
|
Subjects: | |
Online Access: | 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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design and analysis of distributed denial of service (DDOS) attack-aware link assignment in software defined networking
by: Ali, Sameer
Published: (2021) -
Evaluation Of Internet Protocal Version 6 (IPV6) Implementations And Comparative Performance Analysis On Different Platforms
by: Syed Mohamed, Sulaiman
Published: (2005) -
Flood monitoring system
by: Wan Mustaffa, Wan Nurazlin
Published: (2004) -
PeANFIS-FARM for discovering rules for XML intrusion detection and prevention
by: Chan, Gaik Yee
Published: (2012) -
Performance evaluation for different intrusion detection system algorithms using machine learning
by: Zarir, Mustafa Nadhim
Published: (2018)