CLC number: TP309.2
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-08-02
Cited: 3
Clicked: 7601
Chen-hua Ma, Guo-dong Lu, Jiong Qiu. An authorization model for collaborative access control[J]. Journal of Zhejiang University Science C, 2010, 11(9): 699-717.
@article{title="An authorization model for collaborative access control",
author="Chen-hua Ma, Guo-dong Lu, Jiong Qiu",
journal="Journal of Zhejiang University Science C",
volume="11",
number="9",
pages="699-717",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910564"
}
%0 Journal Article
%T An authorization model for collaborative access control
%A Chen-hua Ma
%A Guo-dong Lu
%A Jiong Qiu
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 9
%P 699-717
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910564
TY - JOUR
T1 - An authorization model for collaborative access control
A1 - Chen-hua Ma
A1 - Guo-dong Lu
A1 - Jiong Qiu
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 9
SP - 699
EP - 717
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910564
Abstract: collaborative access control is receiving growing attention in both military and commercial areas due to an urgent need to protect confidential resources and sensitive tasks. collaborative access control means that multiple subjects should participate to make access control decisions to prevent fraud or the abuse of rights. Existing approaches to access control cannot satisfy the requirements of collaborative access control. To address this concern, we propose an authorization model for collaborative access control. The central notions of the model are collaborative permission, collaboration constraint, and collaborative authorization policy, which make it possible to define the collaboration among multiple subjects involved in gaining a permission. The implementation architecture of the model is also provided. Furthermore, we present effective conflict detection and resolution methods for maintaining the consistency of collaborative authorization policies.
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