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Encrypted Keyword Search in a Distributed Storage System

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dc.contributor.advisor Michael Ernst
dc.contributor.author Artzi, Shay
dc.contributor.author Kiezun, Adam
dc.contributor.author Newport, Calvin
dc.contributor.author Schultz, David
dc.contributor.other Program Analysis
dc.date.accessioned 2006-02-23T20:36:51Z
dc.date.available 2006-02-23T20:36:51Z
dc.date.issued 2006-02-23
dc.identifier.other MIT-CSAIL-TR-2006-010
dc.identifier.uri http://hdl.handle.net/1721.1/31216
dc.description.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.
dc.description.provenance Made available in DSpace on 2006-02-23T20:36:51Z (GMT). No. of bitstreams: 2 MIT-CSAIL-TR-2006-010.ps: 16238506 bytes, checksum: 5b6500bc5dc1fda80e7ae68243fe32e7 (MD5) MIT-CSAIL-TR-2006-010.pdf: 625872 bytes, checksum: 1a68cf9dcf109362839c06c8330116e2 (MD5) en
dc.format.extent 11 p.
dc.format.extent 16238506 bytes
dc.format.extent 625872 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.subject Bloomfilters
dc.title Encrypted Keyword Search in a Distributed Storage System

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