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dc.contributor.advisorBeverly, Robert
dc.contributor.authorGlasser, Dillon
dc.dateMar-18
dc.date.accessioned2018-06-01T20:09:13Z
dc.date.available2018-06-01T20:09:13Z
dc.date.issued2018-03
dc.identifier.urihttp://hdl.handle.net/10945/58301
dc.descriptionApproved for public release; distribution is unlimited
dc.description.abstractTraceroute is a popular active probing technique used by researchers, operators, and adversaries to map the structure and connectivity of IP networks. However, traceroute is susceptible to making inaccurate inferences. We perform a large-scale longitudinal investigation of traceroute artifacts to find anomalies that may be indicative of network errors, misconfiguration, or active deception efforts. Using the IPv4 Routed /24 Topology Dataset from the Center for Applied Internet Data Analysis (CAIDA), we provide a taxonomy of traceroute results, including anomalous and unexpected artifacts. We analyze the distribution of the observed artifacts and attempt to find attribution to the cause of each. Finally, we provide a longitudinal analysis of multi-protocol label switching in order to explore possible explanations for unexplained artifacts.
dc.publisherMonterey, California: Naval Postgraduate School
dc.rightsThis 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.
dc.titleLongitudinal study of large-scale traceroute results
dc.typeThesis
dc.contributor.secondreaderRohrer, Justin P.
dc.contributor.departmentComputer Science (CS)
dc.subject.authorInternet Measurement
dc.subject.authorMulti-protocol Label Switching
dc.subject.authortraceroute
dc.description.serviceCivilian, Department of the Navy
etd.thesisdegree.nameMaster of Science in Computer Science
etd.thesisdegree.levelMasters
etd.thesisdegree.disciplineComputer Science
etd.thesisdegree.grantorNaval Postgraduate School
dc.identifier.thesisid28999


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