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Toward secure VMs allocation : analysis of VMs allocation behaviours in the cloud computing environments
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Aldawood, Mansour, Jhumka, Arshad and Fahmy, Suhaib A. (2023) Toward secure VMs allocation : analysis of VMs allocation behaviours in the cloud computing environments. In: International Conference on Cloud Computing and Services Science. CLOSER 2021, Virtual, 28-30 Apr 2021. Published in: Communications in Computer and Information Science, 1607 pp. 25-46. ISBN 9783031216367. doi:10.1007/978-3-031-21637-4_2 ISSN 1865-0929.
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Official URL: https://doi.org/10.1007/978-3-031-21637-4_2
Abstract
Side-channel attacks (SCAs) is a potential threat in cloud computing environments (CCEs) as it allows the malicious VMs to capture private information from the target VMs when they share the same PM. This malicious co-residency of VMs is an outcome of the VMs allocation algorithm behaviour, which is responsible for allocating the VMs to a specific PM based on defined allocation objectives. Earlier studies tackled the SCAs, through specific solutions, by focusing on either formulating VMs allocation algorithms or modifying the architecture of the CCEs to mitigate the threats of SCAs. However, most of them are oriented to specific situations and assumptions, leading to malicious co-residency when applied to other scopes or situations. In this paper, we presented the solution from a different holistic perspective by examining the allocation behaviours of different algorithms and other properties that affect and lead to obtaining a secure VMs allocation. The examinations are performed under different scenarios and structures for each behaviour to understand the possible situations that lead to secure VMs allocation. In addition, we develop a deterministic security-aware VMs allocation algorithm that aims to allocate the VMs securely to reduce the potential threats from malicious co-residency in CCEs.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Cloud computing , Virtual computer systems , Virtual computer systems -- Security measures, Virtual storage (Computer science), Computer security | ||||||
| Journal or Publication Title: | Communications in Computer and Information Science | ||||||
| Publisher: | Springer | ||||||
| ISBN: | 9783031216367 | ||||||
| ISSN: | 1865-0929 | ||||||
| Official Date: | 1 January 2023 | ||||||
| Dates: |
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| Volume: | 1607 | ||||||
| Page Range: | pp. 25-46 | ||||||
| DOI: | 10.1007/978-3-031-21637-4_2 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 12 January 2023 | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | International Conference on Cloud Computing and Services Science. CLOSER 2021 | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Virtual | ||||||
| Date(s) of Event: | 28-30 Apr 2021 |
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