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2021 | OriginalPaper | Chapter

PCA-Based DDoS Attack Detection of SDN Environments

Authors : Li-quan Han, Yue Zhang

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

Software defined networking, as a new network architecture, has the advantages of numerical control separation, open interfaces, and network virtualization. However, the new network architecture of SDN still faces the risk of being attacked by DDoS. DDoS attacks not only damage the hosts in the SDN network, but also have a serious impact on the entire SDN. This paper uses PCA to analyze network traffic and detect DDoS attacks. The experimental results show that PCA detection can detect DDoS attacks well.

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Metadata
Title
PCA-Based DDoS Attack Detection of SDN Environments
Authors
Li-quan Han
Yue Zhang
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_204

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