Skip to main content
English
Čeština
Deutsch
Español
Français
GÃ idhlig
Latviešu
Magyar
Nederlands
Português
Português do Brasil
Suomi
Log In
Email address
Password
Log in
Have you forgotten your password?
Home
Browse Our Collection
Researchers
Scholarly Output
Consultancy/Projects
Statistics
Log In
Email address
Password
Log in
Have you forgotten your password?
Home
Faculties / Institutes
Faculty of Information and Communication Technology
Published Scholarly Output
DDoS Anomaly Detection in Software-Defined Networks: An Evaluation of Machine Learning Techniques for Traffic Classification and Prediction
Details
Export
Statistics
Options
Show all metadata (technical view)
DDoS Anomaly Detection in Software-Defined Networks: An Evaluation of Machine Learning Techniques for Traffic Classification and Prediction
Journal
2024 International Conference on Future Technologies for Smart Society (ICFTSS)
Date Issued
2024-08-07
Author(s)
Abdinasir Hirsi
Lukman Audah
Adeb Salh
Faculty of Information and Communication Technology
Nan Mad Sahar
Salman Ahmed
Mohammed A. Alhartomi
DOI
10.1109/ICFTSS61109.2024.10691328
File(s)
Loading...
Download
Name
ProceedingsConference.png
Size
28.25 KB
Format
PNG
Checksum
(MD5):305290eae19885e3ad5813824a3510c7
