Strong privacy for communication, browsing, and storage
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 |
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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 |
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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 |
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Genre | Text |
Bibliographic information
Statement of responsibility | Saba Eskandarian |
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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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