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.

Bibliografische gegevens
Hoofdauteurs: Hasan, Kadir, Hossain, Kaji Sajjad, Apurbo, GM Mohaiminuzzaman, Islam, MD Zubairul, Alam, Md Shakibul
Andere auteurs: Hossain, Muhammad Iqbal
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
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 toegang:http://hdl.handle.net/10361/24344

Internet

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

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