Attack-Specific Feature Selection for Anomaly Detection in Software-Defined Networks

Attack-Specific Feature Selection for Anomaly Detection in Software-Defined Networks

Due to the rapid advancement of technologies including the tremendous growth of multimedia content, cloud computing and mobile usage, conventional networks are not able to meet the demands. Software-Defined Networks (SDN) are considered one of the key enabling technologies providing a new powerful n...

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Bibliographic Details
Main Author: Abbas, Nadine (author)
Other Authors: Nasser, Youssef (author), Shehab, Maryam (author), Sharafeddine, Sanaa (author)
Format: conferenceObject
Published: 2021
Online Access:http://hdl.handle.net/10725/14334
https://doi.org/10.1109/MENACOMM50742.2021.9678279
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/9678279
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http://hdl.handle.net/10725/14334
https://doi.org/10.1109/MENACOMM50742.2021.9678279
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/9678279

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