File:VIRTUAL MACHINE DETECTION IN SOFTWARE-DEFINED NETWORKS (IA virtualmachinede1094561313).pdf
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VIRTUAL MACHINE DETECTION IN SOFTWARE-DEFINED NETWORKS
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| Author |
Bihl, Timothy D. |
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| Title |
VIRTUAL MACHINE DETECTION IN SOFTWARE-DEFINED NETWORKS |
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| Publisher |
Monterey, CA; Naval Postgraduate School |
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| Description |
In this thesis, we evaluate a means of determining whether or not a network host is a virtual machine from the perspective of a network administrator using software-defined networking infrastructure. Virtualization presents a user with a desktop and computing environment identical to what is normally expected while also permitting them to be unwittingly controlled from outside the desktop environment. The added complexity of virtual environments causes extra computing delays, which may be observed in traffic round-trip times. In this thesis, we demonstrate how the observed round-trip times may be used to determine which machines were virtualized and which were running natively directly atop the hardware. Two versions of the experiment were performed. The first substantiated that the approach was feasible. The second, using a more realistic software-defined networking infrastructure, showed that delay measurement must be done by methods that minimize unnecessary hops before measurement, though the experiment still succeeded in differentiating virtual machines in the majority of cases. Subjects: SDN; virtualization; virtual machine |
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| Language | English | |
| Publication date | December 2018 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
virtualmachinede1094561313 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 22:31, 25 July 2020 |  | 1,275 × 1,650, 58 pages (899 KB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection virtualmachinede1094561313 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #32044) |
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