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The implications of virtual machine introspection for digital forensics on nonquiescent virtual machines

Authors: Hirst, Nathan W.;

The implications of virtual machine introspection for digital forensics on nonquiescent virtual machines

Abstract

The use of virtualized servers is on the rise. This results in a need for better forensic analysis capabilities for these virtualized environments. One of the answers to that has been the development of virtual machine introspection tools. Virtual machine introspection is a relatively new technique that has some important implications for digital forensics. Since it is performed outside of the virtual machine, it can help to alleviate the observer effect that is often encountered when performing a live analysis. This thesis tests how these tools can work in a nonquiescent environment and shows that the tools tested are able to produce reliable results.

Approved for public release; distribution is unlimited.

http://archive.org/details/theimplicationso109455688

National Science Foundation Grant No. DUE-0414012

Keywords

Software engineering, Computer programming, Computer science

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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
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