Real-time DDoS detection in software-defined networks using machine learning

Real-time DDoS detection in software-defined networks using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliographische Detailangaben
Hauptverfasser:	Hasan, Kadir, Hossain, Kaji Sajjad, Apurbo, GM Mohaiminuzzaman, Islam, MD Zubairul, Alam, Md Shakibul
Weitere Verfasser:	Hossain, Muhammad Iqbal
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Distributed denial of service DDoS attacks SDN Machine learning CICIoT2023 Cyber threats Intrusion detection systems (Computer security). Real-time data processing. Denial of service attacks. Computer networks > Security measures.
Online Zugang:	http://hdl.handle.net/10361/24344

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