Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

Software-defined networks (SDNs) offer robust network architectures for current and future Internet of Things (IoT) applications. At the same time, SDNs constitute an attractive target for cyber attackers due to their global network view and programmability. One of the major vulnerabilities of typic...

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Bibliographic Details
Main Authors: Abimbola O. Sangodoyin, Mobayode O. Akinsolu, Prashant Pillai, Vic Grout
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
SDN security
DDoS flooding attack
machine learning
network security
Online Access:https://ieeexplore.ieee.org/document/9526586/

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