Sanitizing private data for repair systems
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2014
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Online Access: | http://hdl.handle.net/1721.1/91808 |
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author | Fang, Katherine Jien-Yin |
author2 | Nikolai Zeldovichi. |
author_facet | Nikolai Zeldovichi. Fang, Katherine Jien-Yin |
author_sort | Fang, Katherine Jien-Yin |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. |
first_indexed | 2024-09-23T16:41:57Z |
format | Thesis |
id | mit-1721.1/91808 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T16:41:57Z |
publishDate | 2014 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/918082019-04-10T11:03:00Z Sanitizing private data for repair systems Fang, Katherine Jien-Yin Nikolai Zeldovichi. 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: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (page 53). The SOLAR system helps restore interconnected system integrity after security attacks with a focus of minimizing the exposure of sensitive data in the repair logs. It builds upon Warp, a repair system for Django web applications which logs all major actions taken by the server from incoming request to outgoing response, and addresses the inherent security vulnerability of logging all data and actions. It provides application developers with a way of notating particular fields as sensitive and ensures that the exposure of these fields to the logs are minimized while maintaining and improving the reexecution of code during repair operations. A series of tests were written to show that SOLAR continues to support repair operations even with certain data removed. by Katherine Jien-Yin Fang. M. Eng. 2014-11-24T18:36:09Z 2014-11-24T18:36:09Z 2014 2014 Thesis http://hdl.handle.net/1721.1/91808 894114720 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 53 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Fang, Katherine Jien-Yin Sanitizing private data for repair systems |
title | Sanitizing private data for repair systems |
title_full | Sanitizing private data for repair systems |
title_fullStr | Sanitizing private data for repair systems |
title_full_unstemmed | Sanitizing private data for repair systems |
title_short | Sanitizing private data for repair systems |
title_sort | sanitizing private data for repair systems |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/91808 |
work_keys_str_mv | AT fangkatherinejienyin sanitizingprivatedataforrepairsystems |