1 Scopus citations

Abstract

Moving Target Defense (MTD) has emerged as a good solution to deal with dynamic attack surface. The goal is to make it difficult for an attacker to exploit network resources. But it is challenging to provide zero downtime guarantees when performing network rearrangement or when a physical host acts as a single point of failure for virtual servers. In this paper, we introduce Software Defined Networking (SDN) based continuous time modeling techniques to perform virtual machine migration and MTD techniques while maintaining high service availability and system security. This solution will not only increase attackers uncertainty but will also provide low downtime and high availability guarantee for the network.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016
PublisherSpringer Verlag
Pages188-197
Number of pages10
Volume565
ISBN (Print)9783319608334
DOIs
StatePublished - 2018
Event3rd International Afro-European Conference for Industrial Advancement, AECIA 2016 - Marrakesh, Morocco
Duration: Nov 21 2016Nov 23 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume565
ISSN (Print)2194-5357

Other

Other3rd International Afro-European Conference for Industrial Advancement, AECIA 2016
CountryMorocco
CityMarrakesh
Period11/21/1611/23/16

Keywords

  • Cloud computing
  • High availability
  • Moving target defense
  • Virtual machine migration
  • Virtualization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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    El Mir, I., Chowdhary, A., Huang, D., Pisharody, S., Kim, D. S., & Haqiq, A. (2018). Software defined stochastic model for moving target defense. In Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016 (Vol. 565, pp. 188-197). (Advances in Intelligent Systems and Computing; Vol. 565). Springer Verlag. https://doi.org/10.1007/978-3-319-60834-1_20