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.
Egile Nagusiak: | Tahrim, Tasmiah, Sharan, MD Asif, Monsur, Meshaq, Hasan, MD Abid, Azad, Tanzina Binte |
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Beste egile batzuk: | Shakil, Arif |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
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Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/23575 |
Antzeko izenburuak
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Real time performance analysis on DDoS attack detection using machine learning
nork: Suvra, Debashis Kar, et al.
Argitaratua: (2021) -
Analysis on IOT Botnet and DDOS attack
nork: Nur, Md. Walid Bin
Argitaratua: (2018) -
Mitigating DDoS attacks using a resource sharing network
nork: Khan, Farabi Fardin, et al.
Argitaratua: (2022) -
Real-time DDoS detection in software-defined networks using machine learning
nork: Hasan, Kadir, et al.
Argitaratua: (2024) -
Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
nork: Ahmed, Faisal, et al.
Argitaratua: (2017)