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- W4200405021 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." @default.
- W4200405021 created "2021-12-31" @default.
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- W4200405021 date "2021-12-13" @default.
- W4200405021 modified "2023-10-18" @default.
- W4200405021 title "Secure Allocation for Graph-Based Virtual Machines in Cloud Environments" @default.
- W4200405021 doi "https://doi.org/10.1109/pst52912.2021.9647766" @default.
- W4200405021 hasPublicationYear "2021" @default.
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