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.

Bibliografiska uppgifter
Huvudupphovsmän:	Hasan, Kadir, Hossain, Kaji Sajjad, Apurbo, GM Mohaiminuzzaman, Islam, MD Zubairul, Alam, Md Shakibul
Övriga upphovsmän:	Hossain, Muhammad Iqbal
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	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.
Länkar:	http://hdl.handle.net/10361/24344

http://hdl.handle.net/10361/24344

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