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CLC number: TP309

On-line Access: 2010-08-02

Received: 2009-07-29

Revision Accepted: 2010-01-11

Crosschecked: 2010-05-31

Cited: 6

Clicked: 7284

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.8 P.575-586


A fine-grained access control model for relational databases

Author(s):  Jie Shi, Hong Zhu

Affiliation(s):  College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Corresponding email(s):   shijie1123@gmail.com, whzhuhong@gmail.com

Key Words:  Fine-grained access control, Database security, Prohibition, Multiple policies

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Jie Shi, Hong Zhu. A fine-grained access control model for relational databases[J]. Journal of Zhejiang University Science C, 2010, 11(8): 575-586.

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%T A fine-grained access control model for relational databases
%A Jie Shi
%A Hong Zhu
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%DOI 10.1631/jzus.C0910466

T1 - A fine-grained access control model for relational databases
A1 - Jie Shi
A1 - Hong Zhu
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 8
SP - 575
EP - 586
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C0910466

fine-grained access control (FGAC) must be supported by relational databases to satisfy the requirements of privacy preserving and Internet-based applications. Though much work on FGAC models has been conducted, there are still a number of ongoing problems. We propose a new FGAC model which supports the specification of open access control policies as well as closed access control policies in relational databases. The negative authorization is supported, which allows the security administrator to specify what data should not be accessed by certain users. Moreover, multiple policies defined to regulate user access together are also supported. The definition and combination algorithm of multiple policies are thus provided. Finally, we implement the proposed FGAC model as a component of the database management system (DBMS) and evaluate its performance. The performance results show that the proposed model is feasible.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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