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  4. A Reactive Approach for Use-Based Privacy

A Reactive Approach for Use-Based Privacy

File(s)
Birrell_cornellgrad_0058F_10958.pdf (1.46 MB)
Permanent Link(s)
https://doi.org/10.7298/X4K935TM
https://hdl.handle.net/1813/59578
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Cornell Theses and Dissertations
Author
Birrell, Eleanor
Abstract

This dissertation describes an investigation into the feasibility of expressing and enforcing use-based privacy, which posits that privacy can be provided by preventing harmful uses of sensitive information. Use-based privacy is shown to benefit from a reactive policy language---one that specifies not only a current set of restrictions but also describes how those restrictions change. An instantiation of such a reactive language, the Avenance language, is defined; its expressiveness is demonstrated with real-world policies. The dissertation also explores the feasibility of a technical means for enforcing compliance. Systems are described for facilitating policy compliance by benign principals and architectures for enforcing policy compliance in the presence of adversarial principals. A policy provider that associates use-based privacy policies with sensitive values as policy tags also is described. The described work collectively constitutes strong evidence for the feasibility of use-based privacy.

Date Issued
2018-08-30
Keywords
Computer science
Committee Chair
Schneider, Fred Barry
Committee Member
Myers, Andrew C.
Pass, Rafael N.
Lasser, Mitchel
Degree Discipline
Computer Science
Degree Name
Ph. D., Computer Science
Degree Level
Doctor of Philosophy
Rights
Attribution-ShareAlike 4.0 International
Rights URI
https://creativecommons.org/licenses/by-sa/4.0/
Type
dissertation or thesis

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