A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

As novel technologies continue to reshape the digital era, cyberattacks are also increasingly becoming more commonplace and sophisticated. Distributed denial of service (DDoS) attacks are, perhaps, the most prevalent and exponentially-growing attack, targeting the varied and emerging computational n...

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Bibliographic Details
Main Authors: Shahzeb Haider, Adnan Akhunzada, Iqra Mustafa, Tanil Bharat Patel, Amanda Fernandez, Kim-Kwang Raymond Choo, Javed Iqbal
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Software defined network (SDN)
anomaly detection
distributed denial of service (DDoS)
deep learning
deep convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/9016053/

Internet

https://ieeexplore.ieee.org/document/9016053/

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