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

• 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/1771/2/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; http://eprints.uthm.edu.my/1771/

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...