Abstract : 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.
Yingjiu Li. 23th Data and Applications Security (DBSec), Jul 2011, Richmond, VA, United States. Springer, Lecture Notes in Computer Science, LNCS-6818, pp.247-254, 2011, Data and Applications Security and Privacy XXV. 〈10.1007/978-3-642-22348-8_20〉
https://hal.inria.fr/hal-01586578
Contributeur : Hal Ifip
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Dernière modification le : mercredi 13 septembre 2017 - 14:28:21
Document(s) archivé(s) le : jeudi 14 décembre 2017 - 13:27:36
Aaron Steele, Keith Frikken. An Index Structure for Private Data Outsourcing. Yingjiu Li. 23th Data and Applications Security (DBSec), Jul 2011, Richmond, VA, United States. Springer, Lecture Notes in Computer Science, LNCS-6818, pp.247-254, 2011, Data and Applications Security and Privacy XXV. 〈10.1007/978-3-642-22348-8_20〉. 〈hal-01586578〉
