A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

While there have been extensive studies of denial of service (DoS) attacks and DDoS attack mitigation, such attacks remain challenging to mitigate. For example, Low-Rate DDoS (LR-DDoS) attacks are known to be difficult to detect, particularly in a software-defined network (SDN). Hence, in this paper...

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Bibliographic Details
Main Authors: Jesus Arturo Perez-Diaz, Ismael Amezcua Valdovinos, Kim-Kwang Raymond Choo, Dakai Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
DDoS attack mitigation
low-rate DDoS (LR-DDoS) attacks
machine learning
software-defined network (SDN)
Online Access:https://ieeexplore.ieee.org/document/9177002/

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