Mask: A System for Privacy-Preserving Policy-Based Access to Published Content

Summary: Mask enables privacy-preserving, policy-based access to published content, with a publisher that does not learn subscriber attributes. Content is partitioned into per-policy subdocuments, each encrypted under its own key; a group-key protocol lets subscribers derive authorized keys without revealing to the publisher which keys they reconstruct. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4420
Venue: SIGMOD
Year: 2010
Pagerank: -
Overall Rank: 13,711 | 5.93%
DOI: 10.1145/1807167.1807329

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Authors

1. Mohamed Nabeel (Purdue University)
2. Ning Shang (Purdue University)
3. John Zage (Purdue University)
4. Elisa Bertino (Purdue University)

BibTeX Citation

@inproceedings{nabeel_sigmod10,
        title = {{Mask: A System for Privacy-Preserving Policy-Based Access to Published Content}},
        author = {Nabeel, Mohamed and Shang, Ning and Zage, John and Bertino, Elisa},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807329},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807329},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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