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Security Evaluation in Software-Defined Networks

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date15/08/2024
Host publicationCloud Computing and Services Science: 12th International Conference, CLOSER 2022, Virtual Event, April 27–29, 2022, and 13th International Conference, CLOSER 2023, Prague, Czech Republic, April 26–28, 2023, Revised Selected Papers
EditorsMaarten van Steen, Donald Ferguson, Claus Pahl
Place of PublicationCham
PublisherSpringer
Pages66-91
Number of pages26
ISBN (electronic)9783031681653
ISBN (print)9783031681646
<mark>Original language</mark>English
Event13th International Conference on Cloud Computing and Services Science - Prague, Czech Republic
Duration: 26/04/202428/04/2024
https://closer.scitevents.org/

Conference

Conference13th International Conference on Cloud Computing and Services Science
Abbreviated titleCLOSER 2023
Country/TerritoryCzech Republic
CityPrague
Period26/04/2428/04/24
Internet address

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer Cham
Number1
Volume1845
ISSN (Print)1865-0929
ISSN (electronic)1865-0937

Conference

Conference13th International Conference on Cloud Computing and Services Science
Abbreviated titleCLOSER 2023
Country/TerritoryCzech Republic
CityPrague
Period26/04/2428/04/24
Internet address

Abstract

Cloud computing has grown in importance in recent years which has led to a significant increase in Data Centre (DC) network requirements. A major driver of this change is virtualisation, which allows computing resources to be deployed on a large scale. However, traditional DCs, with their network topology and proliferation of network endpoints, are struggling to meet the flexible, centrally managed requirements of cloud computing applications. Software-Defined Networks (SDN) promise to offer a solution to these growing networking requirements by separating control functions from data routing. This shift adds more flexibility to networks but also introduces new security issues. This article presents a framework for evaluating security of SDN architectures. In addition, through an experimental study, we demonstrate how this framework can identify the threats and vulnerabilities, calculate their risks and severity, and provide the necessary measures to mitigate them. The proposed framework helps administrators to evaluate SDN security, address identified threats and meet network security requirements.