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Implementing Live Migration Security

Authors: O'Neill, Darren;

Implementing Live Migration Security

Abstract

This dissertation was carried out in order to investigate the current methods for securing live virtual machine migration and to contribute to the current frameworks that currently exist. The Live migration of virtual machines is fundamental component of cloud computing. In recent years, researchers have discussed frameworks and methodologies to secure the process of live virtual machine migration. However the majority of research that is carried out to date has focused on the performance and not on security. The research that we have undertaken focuses on the security of virtual machine during migration. To fulfill this we investigated two popular open source hypervisors XEN and KVM. We found security flaws in each system and have proposed securing the live migration process by using encryption, intrusion detection systems, role based access control and firewall rules. We recommend that XEN is the more secure of the two systems available.

Country
Ireland
Related Organizations
Keywords

Cloud computing, 004

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green