The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Sticky Policies: An Approach for Managing Privacy across Multiple Parties
Abstract
Machine-readable policies can stick to data to define allowed usage and obligations as it travels across multiple parties, enabling users to improve control over their personal information. The EnCoRe project has developed such a technical solution for privacy management that is suitable for use in a broad range of domains.
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Cites
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
Platform for Enterprise Privacy Practices: Privacy-Enabled Management of Customer Data
Karjoth, G., Schunter, M., & Waidner, M. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-36467-6_6 · Cited by 221
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Kaye, J., Whitley, E. A., Lund, D., Morrison, M., Teare, H., & Melham, K. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.71 · Cited by 780
Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions
Politou, E., Alepis, E., & Patsakis, C. (2018) · Journal of Cybersecurity · doi:10.1093/cybsec/tyy001 · Cited by 313
Data flow management and compliance in cloud computing
Singh, J., Powles, J., Pasquier, T., & Bacon, J. (2015) · IEEE Cloud Computing · doi:10.1109/mcc.2015.69 · Cited by 48
Sicari, S., Rizzardi, A., Dini, G., Perazzo, P., La Manna, M., & Coen-Porisini, A. (2021) · International Journal of Information Security · doi:10.1007/s10207-020-00526-3 · Cited by 21
Big Data and Analytics in the Age of the GDPR
Bonatti, P. A., & Kirrane, S. (2019) · 2019 IEEE International Congress on Big Data (BigDataCongress) · doi:10.1109/bigdatacongress.2019.00015 · Cited by 16
Metadata
- Authors
- Pearson, S., & Casassa-Mont, M.
- Venue
- Computer
- Published
- 2011-09
- Volume
- 44
- Issue
- 9
- Pages
- 60-68
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2122442215
- Cited by
- 161
- References
- 2
- FWCI
- 23.58
- 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.