Strong privacy for communication, browsing, and storage

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Abstract/Contents

Abstract
As news of large-scale privacy compromises becomes increasingly frequent, there is a need for new tools to protect user privacy across all the technologies we use in our daily lives. This thesis develops new approaches to protecting user data as it is typed into a web browser, when it is transmitted in messaging conversations, and when it resides in cloud storage. The techniques used will vary from new system designs using hardware enclaves to novel applications of zero-knowledge proof systems, but for each application the thesis will show how to achieve order of magnitude performance improvements that enable previously out of reach use cases

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Eskandarian, Saba
Degree supervisor Boneh, Dan, 1969-
Thesis advisor Boneh, Dan, 1969-
Thesis advisor Durumeric, Zakir
Thesis advisor Zaharia, Matei
Degree committee member Durumeric, Zakir
Degree committee member Zaharia, Matei
Associated with Stanford University, Computer Science Department

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Saba Eskandarian
Note Submitted to the Computer Science Department
Thesis Thesis Ph.D. Stanford University 2021
Location https://purl.stanford.edu/yn775mg8974

Access conditions

Copyright
© 2021 by Saba Eskandarian
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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