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Encrypted Keyword Search in a Distributed Storage System

Author(s)
Artzi, Shay; Kiezun, Adam; Newport, Calvin; Schultz, David
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Program Analysis
Advisor
Michael Ernst
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Abstract
Encrypted keyword search allows a server to perform a search over a set of encrypted documents on behalf of a client without learning the contents of the documents or the words being searched for. Designing a practical system is challenging because the privacy constraint thwarts standard indexing and ranking techniques. We present Mafdet, an encrypted keyword search system we have implemented. Our system makes the search practical even for large data sets. We evaluated Mafdet's performance on a set of queries and a large collection of documents. In these queries, Mafdet's accuracy is within 6% of Google Desktop, and the search time is on the order of seconds for document sets as large as 2.6 GB.
Date issued
2006-02-23
URI
http://hdl.handle.net/1721.1/31216
Other identifiers
MIT-CSAIL-TR-2006-010
Series/Report no.
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
Keywords
Bloomfilters

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