SDN-GAN: Generative adversarial deep NNs for synthesizing cyber attacks on software defined networks

Ahmed AlEroud, George Karabatis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The recent evolution in programmable networks such as SDN opens the possibility to control networks using software controllers. However, such networks are vulnerable to attacks that occur in traditional networks. Several techniques are proposed to handle the security vulnerabilities in SDNs. However, it is challenging to create attack signatures, scenarios, or even intrusion detection rules that are applicable to SDN dynamic environments. Generative Adversarial Deep Neural Networks automates the generation of realistic data in a semi supervised manner. This paper describes an approach that generates synthetic attacks that can target SDNs. It can be used to train SDNs to detect different attack variations. It is based on the most recent OpenFlow models/algorithms and it utilizes similarity with known attack patterns to identify attacks. Such synthesized variations of attack signatures are shown to attack SDNs using adversarial approaches.

Original languageEnglish (US)
Title of host publicationOn the Move to Meaningful Internet Systems
Subtitle of host publicationOTM 2019 Workshops - Confederated International Workshops: EI2N, FBM, ICSP, Meta4eS and SIAnA 2019, Revised Selected Papers
EditorsChristophe Debruyne, Hervé Panetto, Wided Guédria, Peter Bollen, Ioana Ciuciu, George Karabatis, Robert Meersman
PublisherSpringer
Pages211-220
Number of pages10
ISBN (Print)9783030409067
DOIs
StatePublished - 2020
Externally publishedYes
EventConfederated International Workshops on Enterprise Integration, Interoperability and Networking (EI2N), Fact Based Modeling (FBM), Industry Case Studies Program (ICSP), Methods, Evaluation, Tools and Applications towards a Data-driven e-Society (Meta4eS), and Security via Information Analytics and Applications (SIAnA), held as a part of OTM 2019 - Rhodes, Greece
Duration: Oct 21 2019Oct 25 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11878 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Workshops on Enterprise Integration, Interoperability and Networking (EI2N), Fact Based Modeling (FBM), Industry Case Studies Program (ICSP), Methods, Evaluation, Tools and Applications towards a Data-driven e-Society (Meta4eS), and Security via Information Analytics and Applications (SIAnA), held as a part of OTM 2019
Country/TerritoryGreece
CityRhodes
Period10/21/1910/25/19

Keywords

  • Cyber-attack detection
  • Generative Adversarial Networks
  • Software Defined Networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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