Preventing data leakage in web services

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author: Wang, Frank Yi-Fei
Other Authors: Nickolai Zeldovich and James Mickens.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:http://hdl.handle.net/1721.1/120410
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author Wang, Frank Yi-Fei
author2 Nickolai Zeldovich and James Mickens.
author_facet Nickolai Zeldovich and James Mickens.
Wang, Frank Yi-Fei
author_sort Wang, Frank Yi-Fei
collection MIT
description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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spelling mit-1721.1/1204102019-04-12T23:17:37Z Preventing data leakage in web services Wang, Frank Yi-Fei Nickolai Zeldovich and James Mickens. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 77-86). Web services like Google, Facebook, and Dropbox are a regular part of users' lives. However, using these applications can cause sensitive data leakage both on the server and client. On the server-side, applications collect and analyze sensitive user data to monetize it. Consequently, this sensitive data can leak through data breaches or can be accessed by malicious service providers. On the client, when a user accesses a web service through the browser, sensitive user information may leak outside of the browser, e.g., to DNS interfaces or the swap space. An attacker who accesses the user device after a session has terminated can view this information. This dissertation presents two practical, secure systems, Veil and Splinter, that prevent some of this data leakage. Veil minimizes client-side information leakage from the browser by allowing web application developers to enforce stronger private browsing semantics without browser support. Splinter allows the server to properly respond to a user query without the server learning any sensitive information present in the query. by Frank Yi-Fei Wang. Ph. D. 2019-02-14T15:49:05Z 2019-02-14T15:49:05Z 2018 2018 Thesis http://hdl.handle.net/1721.1/120410 1084286224 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 86 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Wang, Frank Yi-Fei
Preventing data leakage in web services
title Preventing data leakage in web services
title_full Preventing data leakage in web services
title_fullStr Preventing data leakage in web services
title_full_unstemmed Preventing data leakage in web services
title_short Preventing data leakage in web services
title_sort preventing data leakage in web services
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/120410
work_keys_str_mv AT wangfrankyifei preventingdataleakageinwebservices