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Cited by 451

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Privacy and contextual integrity: framework and applications

Barth, A., Datta, A., Mitchell, J.C., Nissenbaum, H.·2006·2006 IEEE Symposium on Security and Privacy (S&P'06)
DOI 10.1109/sp.2006.32
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Abstract

Contextual integrity is a conceptual framework for understanding privacy expectations and their implications developed in the literature on law, public policy, and political philosophy. We formalize some aspects of contextual integrity in a logical framework for expressing and reasoning about norms of transmission of personal information. In comparison with access control and privacy policy frameworks such as RBAC, EPAL, and P3P, these norms focus on who personal information is about, how it is transmitted, and past and future actions by both the subject and the users of the information. Norms can be positive or negative depending on whether they refer to actions that are allowed or disallowed. Our model is expressive enough to capture naturally many notions of privacy found in legislation, including those found in HIPAA, COPPA, and GLBA. A number of important problems regarding compliance with privacy norms, future requirements associated with specific actions, and relations between policies and legal standards reduce to standard decision procedures for temporal logic.

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Metadata

Authors
Barth, A., Datta, A., Mitchell, J. C., & Nissenbaum, H.
Venue
2006 IEEE Symposium on Security and Privacy (S&P'06)
Publisher
IEEE
Published
2006
Pages
15 pp.-198
ISSN
1081-6011 (ISSN-L)
DOI
10.1109/sp.2006.32
OpenAlex
W2066266646
Cited by
451
References
28
FWCI
33.91
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Privacy and contextual integrity: framework and applications. https://app.cochat.ai/papers/10.1109/sp.2006.32
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Barth, A., Datta, A., Mitchell, J. C., & Nissenbaum, H. (2006). Privacy and contextual integrity: framework and applications. 2006 IEEE Symposium on Security and Privacy (S&P'06). https://doi.org/10.1109/sp.2006.32

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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.