Machine Learning in an SDN Network Environment for DoS Attacks

Mauricio Dominguez-Limaico, Edgar Maya-Olalla, Carlos Bosmediano-Cardenas, Charles Escobar-Teran, Juan Francisco Chafla-Altamirano, Arturo Bedón-Chamorro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Denial of service (DoS) attacks in Software-Defined Network (SDN) environments are increasing despite the capabilities and benefits of SDN. Software-based traffic analysis, centralized control and automatic information forwarding offered by SDN, makes it easier to detect and react effectively to DoS attacks; however, the security of the SDN itself has not yet been resolved, and there are a number of potential vulnerabilities not only of the DoS type, on the SDN platforms. In this document, we review some applications and defense mechanisms to mitigate these types of attacks in an SDN network environment. This work could help us to understand the advantages of SDNs compared to current network architectures, without leaving aside the security issue that will continue to be maintained over the years.

Original languageEnglish
Title of host publicationTechnology, Sustainability and Educational Innovation, TSIE 2019
EditorsAndrea Basantes-Andrade, Miguel Naranjo-Toro, Marcelo Zambrano Vizuete, Miguel Botto-Tobar
PublisherSpringer
Pages231-243
Number of pages13
ISBN (Print)9783030372200
DOIs
StatePublished - 2020
EventInternational Conference on Knowledge Society: Technology, Sustainability and Educational Innovation, TSIE 2019 - Ibarra, Ecuador
Duration: 3 Jul 20195 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1110 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Knowledge Society: Technology, Sustainability and Educational Innovation, TSIE 2019
Country/TerritoryEcuador
CityIbarra
Period3/07/195/07/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Keywords

  • Control layer
  • Data layer
  • DDoS attacks
  • Network security
  • OpenFlow
  • SDN

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