Software defined stochastic model for moving target defense

Iman El Mir; Ankur Chowdhary; Dijiang Huang; Sandeep Pisharody; Dong Seong Kim; Abdelkrim Haqiq

doi:10.1007/978-3-319-60834-1_20

Software defined stochastic model for moving target defense

Iman El Mir^*
, Ankur Chowdhary
, Dijiang Huang
, Sandeep Pisharody
, Dong Seong Kim
, Abdelkrim Haqiq

^*Corresponding author for this work

School of Internet of Things

Hassan I University
Arizona State University
University of Canterbury

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

7 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016
Editors	Abdelkrim Haqiq, Vaclav Snasel, Ajith Abraham, Aboul Ella Hassanien, Adel M. Alimi
Publisher	Springer Verlag
Pages	188-197
Number of pages	10
ISBN (Print)	9783319608334
DOIs	https://doi.org/10.1007/978-3-319-60834-1_20
Publication status	Published - 2018
Event	3rd International Afro-European Conference for Industrial Advancement, AECIA 2016 - Marrakesh, Morocco Duration: 21 Nov 2016 → 23 Nov 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	565
ISSN (Print)	2194-5357

Conference

Conference	3rd International Afro-European Conference for Industrial Advancement, AECIA 2016
Country/Territory	Morocco
City	Marrakesh
Period	21/11/16 → 23/11/16

Keywords

Cloud computing
High availability
Moving target defense
Virtual machine migration
Virtualization

Access to Document

10.1007/978-3-319-60834-1_20

Cite this

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

El Mir, Iman ; Chowdhary, Ankur ; Huang, Dijiang et al. / Software defined stochastic model for moving target defense. Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016. editor / Abdelkrim Haqiq ; Vaclav Snasel ; Ajith Abraham ; Aboul Ella Hassanien ; Adel M. Alimi. Springer Verlag, 2018. pp. 188-197 (Advances in Intelligent Systems and Computing).

@inproceedings{a27194c835524b1ea9c860ab19c89fba,

title = "Software defined stochastic model for moving target defense",

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.",

keywords = "Cloud computing, High availability, Moving target defense, Virtual machine migration, Virtualization",

author = "\{El Mir\}, Iman and Ankur Chowdhary and Dijiang Huang and Sandeep Pisharody and Kim, \{Dong Seong\} and Abdelkrim Haqiq",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016 ; Conference date: 21-11-2016 Through 23-11-2016",

year = "2018",

doi = "10.1007/978-3-319-60834-1\_20",

language = "English",

isbn = "9783319608334",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "188--197",

editor = "Abdelkrim Haqiq and Vaclav Snasel and Ajith Abraham and \{Ella Hassanien\}, Aboul and Alimi, \{Adel M.\}",

booktitle = "Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016",

}

El Mir, I, Chowdhary, A, Huang, D, Pisharody, S, Kim, DS & Haqiq, A 2018, Software defined stochastic model for moving target defense. in A Haqiq, V Snasel, A Abraham, A Ella Hassanien & AM Alimi (eds), Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016. Advances in Intelligent Systems and Computing, vol. 565, Springer Verlag, pp. 188-197, 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016, Marrakesh, Morocco, 21/11/16. https://doi.org/10.1007/978-3-319-60834-1_20

Software defined stochastic model for moving target defense. / El Mir, Iman; Chowdhary, Ankur; Huang, Dijiang et al.
Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016. ed. / Abdelkrim Haqiq; Vaclav Snasel; Ajith Abraham; Aboul Ella Hassanien; Adel M. Alimi. Springer Verlag, 2018. p. 188-197 (Advances in Intelligent Systems and Computing; Vol. 565).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Chowdhary, Ankur

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AU - Pisharody, Sandeep

AU - Kim, Dong Seong

AU - Haqiq, Abdelkrim

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AB - 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.

KW - Cloud computing

KW - High availability

KW - Moving target defense

KW - Virtual machine migration

KW - Virtualization

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A2 - Alimi, Adel M.

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El Mir I, Chowdhary A, Huang D, Pisharody S, Kim DS, Haqiq A. Software defined stochastic model for moving target defense. In Haqiq A, Snasel V, Abraham A, Ella Hassanien A, Alimi AM, editors, Proceedings of the 3rd International Afro-European Conference for Industrial Advancement, AECIA 2016. Springer Verlag. 2018. p. 188-197. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60834-1_20

Software defined stochastic model for moving target defense

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