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dc.contributor.authorMarken, Brandon Ashlee
dc.date.accessioned2016-01-28T00:22:09Z
dc.date.available2016-01-28T00:22:09Z
dc.date.issued2015-12
dc.identifier.urihttp://hdl.handle.net/11122/6378
dc.descriptionThesis (Ph.D.) University of Alaska Fairbanks, 2015en_US
dc.description.abstractWith the increased prevalence of virtualization in the modern computing environment, the security of that technology becomes of paramount importance. Virtual Machine Introspection (VMI) is one of the technologies that has emerged to provide security for virtual environments by examining and then interpreting the state of an active Virtual Machine (VM). VMI has seen use in systems administration, digital forensics, intrusion detection, and honeypots. As with any technology, VMI has both productive uses as well as harmful uses. The research presented in this dissertation aims to enable a guest VM to determine if it is under examination by an external VMI agent. To determine if a VM is under examination a series of statistical analyses are performed on timing data generated by the guest itself.en_US
dc.language.isoen_USen_US
dc.titleOn the detection of virtual machine introspection from inside a guest virtual machineen_US
dc.typeThesisen_US
dc.type.degreephden_US
dc.identifier.departmentDepartment of Computer Scienceen_US
dc.contributor.chairLawlor, Orion
dc.contributor.committeePrice, Channon
dc.contributor.committeeBarry, Ronald
dc.contributor.committeeHartman, Christopher
dc.contributor.committeeGenetti, Jon
refterms.dateFOA2020-03-05T11:11:11Z


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