Privacy-preserving Outsourced Similarity Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00073231" target="_blank" >RIV/00216224:14330/14:00073231 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4018/jdm.2014070103" target="_blank" >http://dx.doi.org/10.4018/jdm.2014070103</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/jdm.2014070103" target="_blank" >10.4018/jdm.2014070103</a>
Alternative languages
Result language
angličtina
Original language name
Privacy-preserving Outsourced Similarity Search
Original language description
The general trend in data management is to outsource data to 3rd party systems that would provide data retrieval as a service. This approach naturally brings privacy concerns about the (potentially sensitive) data. Recently, quite extensive research hasbeen done on privacy-preserving outsourcing of traditional exact-match and keyword search. However, not much attention has been paid to outsourcing of similarity search, which is essential in content-based retrieval in current multimedia, sensor or scientific data. In this paper, the authors propose a scheme of outsourcing similarity search. They define evaluation criteria for these systems with an emphasis on usability, privacy and efficiency in real applications. These criteria can be used as a general guideline for a practical system analysis and we use them to survey and mutually compare existing approaches.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Database Management
ISSN
1063-8016
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
48-71
UT code for WoS article
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EID of the result in the Scopus database
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