IDS for Improving DDoS attack recognition based on attack profiles and network traffic features

• Main Authors: Sallam, Amer A., Kabir, M. Nomani, Alginahi, Yasser M., Jamal, Ahmed, Esmeel, Thamer Khalil
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/29302/2/IDS%20for%20Improving%20DDoS%20Attack%20Recognition%20Based%20on%20Attack%20Profiles%20and%20Network%20Traffic%20Feature.pdf; http://umpir.ump.edu.my/id/eprint/29302/13/IDS%20for%20improving%20DDoS%20attack%20recognition%20based%20on%20attack%20profiles%20and%20network%20traffic%20features.pdf; http://umpir.ump.edu.my/id/eprint/29302/; https://doi.org/10.1109/CSPA48992.2020.9068679

Intrusion detection system (IDS) is one of the important parts in security domains of the present time. Distributed Denial of Service (DDoS) detection involves complex process which reduces the overall performance of the system, and consequently, it may incur inefficiency or failure to the network....