@inproceedings{74e90fe285e541da9cf0397bfa0ecf0d,
title = "Hilbert-curve based cryptographic transformation scheme for protecting data privacy on outsourced private spatial data",
abstract = "The study on spatial database outsourcing has been spotlighted with the development of cloud computing. Therefore, researches for protecting location data privacy in outsourced database have been studied. However, the existing spatial transformation schemes are vulnerable to na{\"i}ve attack models. The existing cryptographic transformation scheme provides high data privacy, but it causes the high query processing cost. To solve these problems, in this paper we propose a Hilbert-curve based cryptographic transformation scheme to protect data privacy and to improve the efficiency of the query processing in outsourced databases. The proposed scheme reduces the communication cost for query processing since we perform a local clustering based on the order of Hilbert-curve. Finally, we show from performance analysis that the proposed scheme outperforms the existing scheme.",
keywords = "Data Privacy, Database outsourcing, Hilbert-curve, Spatial Data Cryptographic Scheme",
author = "Kim, \{Hyeong Il\} and Hong, \{Seung Tae\} and Chang, \{Jae Woo\}",
year = "2014",
doi = "10.1109/BIGCOMP.2014.6741411",
language = "English",
isbn = "9781479939190",
series = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
publisher = "IEEE Computer Society",
pages = "77--82",
booktitle = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
note = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014 ; Conference date: 15-01-2014 Through 17-01-2014",
}