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Access control mechanisms for inter-organizational workflow

Kang, Myong H., Park, Joon S., Froscher, Judith N.·2001·Proceedings of the sixth ACM symposium on Access control models and technologies

Abstract

As more businesses engage in globalization, inter-organizational collaborative computing grows in importance. Since we cannot expect homogeneous computing environments in participating organizations, heterogeneity and Internet-based technology are prevalent in inter-organizational collaborative computing environments. One technology that provides solutions for data sharing and work coordination at the global level is inter-organizational workflow. In this paper, we investigate the access control requirements for inter-organizational workflow. We then present access control solutions for inter-organizational workflow based on our implementation. Many of the requirements and solutions in this paper address the scalability of existing security solutions, the separation of inter-organizational workflow security from concrete organization level security enforcement, and the enforcement of fine-grained access control for inter-organizational workflow.

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Metadata

Authors
Kang, M. H., Park, J. S., & Froscher, J. N.
Venue
Proceedings of the sixth ACM symposium on Access control models and technologies
Publisher
ACM
Published
2001-05
Pages
66-74
OpenAlex
W2024211312
Cited by
177
References
0
FWCI
40.24
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Access control mechanisms for inter-organizational workflow. https://app.cochat.ai/papers/10.1145/373256.373266
The paper
Kang, M. H., Park, J. S., & Froscher, J. N. (2001). Access control mechanisms for inter-organizational workflow. Proceedings of the sixth ACM symposium on Access control models and technologies. https://doi.org/10.1145/373256.373266

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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.