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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01z316q422b
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dc.contributor.advisorMittal, Prateek-
dc.contributor.authorLiao, Michael-
dc.date.accessioned2017-07-24T13:13:11Z-
dc.date.available2017-07-24T13:13:11Z-
dc.date.created2017-05-08-
dc.date.issued2017-5-8-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01z316q422b-
dc.description.abstractIdentifying vulnerabilities in systems is a critical step in safeguarding users’ privacy but is often only accomplished after an adversary exploiting an existing flaw in a system. Contextual Integrity provides a framework for understanding information flows which are appropriate to the privacy norms associated with a given context. By using the framework which Contextual Integrity affords, I discovered a way to potentially model the privacy characteristics of a service’s privacy policy in a systematic and quantitative manner. This characterization may render privacy policies more transparent for users and assist developers in making their services more secure.en_US
dc.language.isoen_USen_US
dc.titleQuantifying Attributes of Privacy Policies Using Contextual Integrityen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2017en_US
pu.departmentElectrical Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960877196-
pu.contributor.advisorid960944224-
Appears in Collections:Electrical Engineering, 1932-2020

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