Abstract | ||
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As the cloud paradigm becomes prevalent for hosting various applications and services, the security of the data stored in the public cloud remains a big concern that blocks the widespread use of the cloud for relational data management. Data confidentiality, integrity and availability are the three main features that are desired while providing data management and query processing functionality in the cloud. We specifically discuss achieving data confidentiality while preserving practical query performance in this paper. Data confidentiality needs to be provided in both data storage and at query access. As a result, we need to consider practical query processing on confidential data and protecting data access privacy. This paper analyzes recent techniques towards a practical comprehensive framework for supporting processing of common database queries on confidential data while maintaining access privacy. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-25731-5_1 | DNIS |
Keywords | Field | DocType |
practical query performance,cloud paradigm,data confidentiality,data access privacy,confidential data,practical query processing,common database query,data storage,secure data management,relational data management,data management | Data mining,Relational database,Confidentiality,Computer science,Computer data storage,Range query (data structures),Data access,Data management,Database,Cloud computing | Conference |
Volume | ISSN | Citations |
7108 | 0302-9743 | 5 |
PageRank | References | Authors |
0.48 | 40 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Divyakant Agrawal | 1 | 8201 | 1674.75 |
Amr El Abbadi | 2 | 6767 | 1569.95 |
Shiyuan Wang | 3 | 60 | 3.37 |