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dc.contributor.advisorDavid Clark and Karen Sollins.en_US
dc.contributor.authorShahid, Maryam,S.M.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-05-24T20:24:05Z
dc.date.available2021-05-24T20:24:05Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/130794
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 99-106).en_US
dc.description.abstractDisinformation campaigns, created by fake accounts on online community platforms, have grown into one of the biggest threats against democracy, freedom and user perception of the truth. This thesis argues that mitigating this abuse and establishing trust online does not necessitate exposing identifying information about users on such platforms. Examples of identity mechanisms used by current platforms to curb this bad behaviour are included in the thesis to showcase the gaps in current schemes. There is a need to remodel the flow of identity transactions to cater to both anonymity and accountability considerations. To that extent, this thesis presents a use case of Brokered Identity Federations as a means to implement a one-time blind proof-of-existence that establishes a real-person is behind an account without revealing any excess identifiable information. The proposed architecture incorporates proof-of-existence by leveraging and re-purposing already existing enterprises, amongst whom identity interactions are divided, to maintain user anonymity while ensuring accountability in terms of limiting mass account creation. Lastly, the thesis discusses key considerations to take into account before the proposed architecture can be successfully realized.en_US
dc.description.statementofresponsibilityby Maryam Shahid.en_US
dc.format.extent106 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectTechnology and Policy Program.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titlePrivacy-preserving identity transactions online : the use case of brokered identity federationsen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentTechnology and Policy Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc1252064702en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Programen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-05-24T20:24:05Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentTPPen_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US
mit.thesis.departmentEECSen_US


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