%0 Conference Proceedings
%T An Index Structure for Private Data Outsourcing
%+ Miami University [Ohio] (MU)
%A Steele, Aaron
%A Frikken, Keith, B.
%Z Part 9: Short Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 23th Data and Applications Security (DBSec)
%C Richmond, VA, United States
%Y Yingjiu Li
%I Springer
%3 Data and Applications Security and Privacy XXV
%V LNCS-6818
%P 247-254
%8 2011-07-11
%D 2011
%R 10.1007/978-3-642-22348-8_20
%K Data Outsourcing
%K Privacy
%K Indexing
%Z Computer Science [cs]Conference papers
%X Data outsourcing provides companies a cost effective method for their data to be stored, managed, and maintained by a third-party. Data outsourcing offers many economical benefits, but also introduces several privacy concerns. Many solutions have been proposed for maintaining privacy while outsourcing data in the data as plain-text model. We propose a method that can maintain a similar level of privacy while improving upon the query performance of previous solutions. The motivating principle behind our solution is that if the data owner possesses a small amount of secure local storage, it can be used as a pseudo-index table to improve query performance for selection queries involving conjunctions. We offer a heuristic approach for calculating the required storage resources and provide experimental analysis of the scheme.
%G English
%Z TC 11
%Z WG 11.3
%2 https://inria.hal.science/hal-01586578/document
%2 https://inria.hal.science/hal-01586578/file/978-3-642-22348-8_20_Chapter.pdf
%L hal-01586578
%U https://inria.hal.science/hal-01586578
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-WG11-3
%~ IFIP-DBSEC
%~ IFIP-LNCS-6818