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dc.contributor.advisorBeverly, Robert
dc.contributor.authorThordarson, Kirstin E.
dc.dateSep-20
dc.date.accessioned2020-11-18T00:22:46Z
dc.date.available2020-11-18T00:22:46Z
dc.date.issued2020-09
dc.identifier.urihttps://hdl.handle.net/10945/66035
dc.description.abstractDespite the adoption of security extensions in IPv6 addressing, usage of EUI-64'based addresses are known to be prevalent throughout the IPv6 address space. In particular, a high concentration of EUI-64 addresses are found on Customer Premises Equipment (CPE) infrastructure, including home gateways and routers. This thesis seeks to deepen current understanding of the IPv6 topology through an in-depth examination of EUI-64 addressing. Recent research has produced a series of rich IPv6 topology data sets that have yet to be fully leveraged for their insight into EUI-64 usage characteristics. Employing IPv6 topology data, this paper extracts and analyzes prefix assignment patterns and device identifications within EUI-64'rich networks. This thesis uses a combination of statistical and predictive analysis to execute the following research objectives: measure the distribution of device manufacturer/model on a given prefix; identify, describe, and predict EUI-64'based prefix rotation patterns; and apply findings within a cyber security context so as to further evaluate the security and privacy risks of EUI-64'based addresses in existing IPv6 addressing schemes.en_US
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleANALYSIS OF EUI-64'BASED ADDRESSING AND ASSOCIATED VULNERABILITIESen_US
dc.typeThesisen_US
dc.contributor.secondreaderRye, Erik, CMAND
dc.contributor.departmentComputer Science (CS)
dc.subject.authorcybersecurityen_US
dc.subject.authornetworkingen_US
dc.subject.authorinternet measurementen_US
dc.subject.authorinternet securityen_US
dc.description.serviceCivilian, National Science Foundation, Scholarship for Serviceen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid34586
dc.description.distributionstatementApproved for public release. distribution is unlimiteden_US
dc.identifier.curriculumcode368, Computer Science


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