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Erschienen in:
2016 | OriginalPaper | Buchkapitel
A Secure Range Query Processing Algorithm for the Encrypted Database on the Cloud
verfasst von : Hyeong-Il Kim, Munchul Choi, Hyeong-Jin Kim, Jae-Woo Chang
Erschienen in: Advanced Multimedia and Ubiquitous Engineering
Verlag: Springer Singapore
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Abstract
Secure range query processing algorithms have been studied as the range query can be used as a baseline technique in various fields. However, when processing a range query, the existing methods fail to hide the data access patterns which can be used to derive the actual data items and the private information of a querying issuer. The problem is that the data access patterns can be exposed even though the data and query are encrypted. So, in this paper we propose a new range query processing algorithm on the encrypted database. Our method conceals the data access patterns while supporting efficient query processing by using our proposed encrypted index search scheme. Through the performance analysis, we show that the proposed range query processing algorithm can efficiently process a query while hiding the data access patterns.