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Sanitizing private data for repair systems

Author(s)
Fang, Katherine Jien-Yin
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Nikolai Zeldovichi.
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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
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Abstract
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.
Description
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).
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/91808
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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