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Secure allocation for graph-based virtual machines in cloud environments
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Aldawood, Mansour and Jhumka, Arshad (2021) Secure allocation for graph-based virtual machines in cloud environments. In: 2021 18th International Conference on Privacy, Security and Trust (PST), Auckland, New Zealand, 13-15 Dec 2021. Published in: Proceedings of the Annual Conference on Privacy, Security and Trust (PST) pp. 1-7. ISBN 9781665401852. doi:10.1109/PST52912.2021.9647766
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WRAP-Secure-allocation-for-graph-based-virtual-machines-in-cloud-environments-Aldawood-2021.pdf - Accepted Version - Requires a PDF viewer. Download (697Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/PST52912.2021.9647766
Abstract
Cloud computing systems (CCSs) enable the sharing of physical computing resources through virtualisation, where a group of virtual machines (VMs) can share the same physical resources of a given machine. However, this sharing can lead to a so-called side-channel attack (SCA), widely recognised as a potential threat to CCSs. Specifically, malicious VMs can capture information from (target) VMs, i.e., those with sensitive information, by merely co-located with them on the same physical machine. As such, a VM allocation algorithm needs to be cognizant of this issue and attempts to allocate the malicious and target VMs onto different machines, i.e., the allocation algorithm needs to be security-aware. This paper investigates the allocation patterns of VM allocation algorithms that are more likely to lead to a secure allocation. A driving objective is to reduce the number of VM migrations during allocation. We also propose a graph-based secure VMs allocation algorithm (GbSRS) to minimise SCA threats. Our results show that algorithms following a stacking-based behaviour are more likely to produce secure VMs allocation than those following spreading or random behaviours.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Journal or Publication Title: | Proceedings of the Annual Conference on Privacy, Security and Trust (PST) | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781665401852 | ||||||
| Book Title: | 2021 18th International Conference on Privacy, Security and Trust (PST) | ||||||
| Official Date: | 21 December 2021 | ||||||
| Dates: |
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| Page Range: | pp. 1-7 | ||||||
| DOI: | 10.1109/PST52912.2021.9647766 | ||||||
| Status: | Not Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Copyright Holders: | IEEE | ||||||
| Date of first compliant deposit: | 5 April 2022 | ||||||
| Date of first compliant Open Access: | 5 April 2022 | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2021 18th International Conference on Privacy, Security and Trust (PST) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Auckland, New Zealand | ||||||
| Date(s) of Event: | 13-15 Dec 2021 |
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