A machine learning based approach for DDos attack detection
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Asıl Yazarlar: | Tahrim, Tasmiah, Sharan, MD Asif, Monsur, Meshaq, Hasan, MD Abid, Azad, Tanzina Binte |
---|---|
Diğer Yazarlar: | Shakil, Arif |
Materyal Türü: | Tez |
Dil: | English |
Baskı/Yayın Bilgisi: |
Brac University
2024
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/23575 |
Benzer Materyaller
-
Real time performance analysis on DDoS attack detection using machine learning
Yazar:: Suvra, Debashis Kar, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
Analysis on IOT Botnet and DDOS attack
Yazar:: Nur, Md. Walid Bin
Baskı/Yayın Bilgisi: (2018) -
Mitigating DDoS attacks using a resource sharing network
Yazar:: Khan, Farabi Fardin, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Real-time DDoS detection in software-defined networks using machine learning
Yazar:: Hasan, Kadir, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
Yazar:: Ahmed, Faisal, ve diğerleri
Baskı/Yayın Bilgisi: (2017)