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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01g732dc74s
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dc.contributor.advisorMittal, Prateek-
dc.contributor.authorLevy, Akash-
dc.date.accessioned2018-08-20T15:42:13Z-
dc.date.available2018-08-20T15:42:13Z-
dc.date.created2018-05-07-
dc.date.issued2018-08-20-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01g732dc74s-
dc.description.abstractContent Delivery Networks (CDNs) are distributed overlay networks that deliver con- tent to end users on behalf of origin websites. They have generally been treated by both origin websites and end users as trusted entities—as a result, there has been little study on potential privacy threats that arise from their widespread usage. In this thesis, we consider privacy threats posed by CDNs that have access to a large set of user browsing information. We examine CDN usage in top websites and discuss what inferences the most popular CDNs might be able to make about end users based on the quantity and nature of the content they deliver.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.titleCDNs and Privacy Threats: A Measurement Studyen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2018en_US
pu.departmentElectrical Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid961074773-
pu.certificateApplications of Computing Programen_US
Appears in Collections:Electrical Engineering, 1932-2020

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