Efficiency and Security in Similarity Cloud Services

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00066556" target="_blank" >RIV/00216224:14330/13:00066556 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.vldb.org/pvldb/vol6/p1450-kozak.pdf" target="_blank" >http://www.vldb.org/pvldb/vol6/p1450-kozak.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Efficiency and Security in Similarity Cloud Services

Popis výsledku v původním jazyce

With growing popularity of cloud services, the trend in the industry is to outsource the data to a 3rd party system that provides searching in the data as a service. This approach naturally brings privacy concerns about the (potentially sensitive) data.Recently, quite extensive research of outsourcing classic exact-match or keyword search has been done. However, not much attention has been paid to the outsourcing of the similarity search, which becomes more and more important in information retrieval applications. In this work, we propose to the research community a model of outsourcing similarity search to the cloud environment (so called similarity cloud). We establish privacy and efficiency requirements to be laid down for the similarity cloud withan emphasis on practical use of the system in real applications; this requirement list can be used as a general guideline for practical system analysis and we use it to analyze current existing approaches.

Název v anglickém jazyce

Efficiency and Security in Similarity Cloud Services

Popis výsledku anglicky

With growing popularity of cloud services, the trend in the industry is to outsource the data to a 3rd party system that provides searching in the data as a service. This approach naturally brings privacy concerns about the (potentially sensitive) data.Recently, quite extensive research of outsourcing classic exact-match or keyword search has been done. However, not much attention has been paid to the outsourcing of the similarity search, which becomes more and more important in information retrieval applications. In this work, we propose to the research community a model of outsourcing similarity search to the cloud environment (so called similarity cloud). We establish privacy and efficiency requirements to be laid down for the similarity cloud withan emphasis on practical use of the system in real applications; this requirement list can be used as a general guideline for practical system analysis and we use it to analyze current existing approaches.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Centrum pro multi-modální interpretaci dat velkého rozsahu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the VLDB Endowment, Volume 6, Issue 12

ISBN

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ISSN

2150-8097

e-ISSN

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Počet stran výsledku

6

Strana od-do

1450-1455

Název nakladatele

VLDB Endowment

Místo vydání

New York

Místo konání akce

Riva del Garda, Trento, Italy

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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