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Flexible support for multiple access control policies

Jajodia, Sushil, Samarati, Pierangela, Sapino, Maria Luisa, Subrahmanian, V. S.·2001·ACM Transactions on Database Systems

Abstract

Although several access control policies can be devised for controlling access to information, all existing authorization models, and the corresponding enforcement mechanisms, are based on a specific policy (usually the closed policy). As a consequence, although different policy choices are possible in theory, in practice only a specific policy can actually be applied within a given system. In this paper, we present a unified framework that can enforce multiple access control policies within a single system. The framework is based on a language through which users can specify security policies to be enforced on specific accesses. The language allows the specification of both positive and negative authorizations and incorporates notions of authorization derivation, conflict resolution, and decision strategies. Different strategies may be applied to different users, groups, objects, or roles, based on the needs of the security policy. The overall result is a flexible and powerful, yet simple, framework that can easily capture many of the traditional access control policies as well as protection requirements that exist in real-world applications, but are seldom supported by existing systems. The major advantage of our approach is that it can be used to specify different access control policies that can all coexist in the same system and be enforced by the same security server.

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Metadata

Authors
Jajodia, S., Samarati, P., Sapino, M. L., & Subrahmanian, V. S.
Venue
ACM Transactions on Database Systems
Published
2001-06
Volume
26
Issue
2
Pages
214-260
ISSN
  • 0362-5915 (ISSN-L)
  • 1557-4644
OpenAlex
W2012419258
Cited by
640
References
0
FWCI
126.49
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.