NDLI: Hilbert-curve based Multi-dimensional Indexing Key Generation Scheme and Query Processing Algorithm for Encrypted Databases

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Hilbert-curve based Multi-dimensional Indexing Key Generation Scheme and Query Processing Algorithm for Encrypted Databases

Content Provider	Semantic Scholar
Author	Kim, Taehoon Jang, Mi-Young Chang, Jae Woo
Copyright Year	2014
Abstract	Recently, the research on database outsourcing has been actively done with the popularity of cloud computing. However, because users’ data may contain sensitive personal information, such as health, financial and location information, the data encryption methods have attracted much interest. Existing data encryption schemes process a query without decrypting the encrypted databases in order to support user privacy protection. On the other hand, to efficiently handle the large amount of data in cloud computing, it is necessary to study the distributed index structure. However, existing index structure and query processing algorithms have a limitation that they only consider single-column query processing. In this paper, we propose a grid-based multi column indexing scheme and an encrypted query processing algorithm. In order to support multi-column query processing, the multi-dimensional index keys are generated by using a space decomposition method, i.e. grid index. To support encrypted query processing over encrypted data, we adopt the Hilbert curve when generating a index key. Finally, we prove that the proposed scheme is more efficient than existing scheme for processing the exact and range query.
Starting Page	1182
Ending Page	1188
Page Count	7
File Format	PDF HTM / HTML
DOI	10.9717/kmms.2014.17.10.1182
Volume Number	17
Alternate Webpage(s)	http://ocean.kisti.re.kr/downfile/volume/kmtd/MTMDCW/2014/v17n10/MTMDCW_2014_v17n10_1182.pdf
Alternate Webpage(s)	https://doi.org/10.9717/kmms.2014.17.10.1182
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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