Privacy-preserving identity transactions online : the use case of brokered identity federations
Author(s)
Shahid, Maryam,S.M.Massachusetts Institute of Technology.
Download1252064702-MIT.pdf (2.610Mb)
Other Contributors
Massachusetts Institute of Technology. Institute for Data, Systems, and Society.
Technology and Policy Program.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
David Clark and Karen Sollins.
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Disinformation 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.
Description
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, February, 2021 Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 99-106).
Date issued
2021Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Technology and Policy Program; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Engineering Systems DivisionPublisher
Massachusetts Institute of Technology
Keywords
Institute for Data, Systems, and Society., Technology and Policy Program., Electrical Engineering and Computer Science.