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Mejorando la seguridad de un criptosistema OPE mediante la uniformización de los datos

Authors: Martínez, Santi; Sadornil, Daniel; Conde, Josep; Valls, Magda; Tomàs, Rosana;

Mejorando la seguridad de un criptosistema OPE mediante la uniformización de los datos

Abstract

La cantidad de información almacenada en bases de datos crece constantemente. Una base de datos contiene múltiples registros divididos en varios campos. Algunos de éstos pueden contener información sensible, así que es necesario evitar que se acceda a ellos. Tradicionalmente, para proteger este tipo de información, se hace uso de la criptografía, pero la criptografía convencional tiene el problema de que, para consultas que necesitan acceder a un campo para todos los registros, se requiere descifrar el campo entero. La criptografía ordenable asegura que comparar datos cifrados produce el mismo resultado que comparar los datos originales, lo que permite ordenarlos sin descifrarlos. Por tanto, con este sistema se admiten búsquedas y consultas por intervalos en campos cifrados. En este artículo proponemos un complemento, compatible con múltiples criptosistemas ordenables, consistente en transformar los datos de manera que se oculte su distribución estadística como paso previo al cifrado ordenable.

Este trabajo ha sido financiado parcialmente por los proyectos MTM2010-21580-C02-01/02 y MTM2010-16051 del Gobierno de España y SGR2014-1666 de la Generalitat de Catalunya.

Country
Spain
Related Organizations
Keywords

Criptografía ordenable, Order preserving encryption, Uniformización de datos, Data uniformization, Ciencia de la Computación e Inteligencia Artificial, Distribución de probabilidad, Bases de datos, Databases, Probability distribution, Criptografía simétrica, Privacy, Privacidad, Symmetric key cryptography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green