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Preserving Privacy and Fairness in Peer-to-Peer Data Integration

Summary: Novel PDMS query protocol uses noise privacy for results and commutative encryption to protect mappings, enabling peer fairness. Implemented in Hyperion; security analysis shows attack resilience and interactive query times on real healthcare data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4353
Venue
SIGMOD
Year
2010
Pagerank
5.3251649e-05
Overall Rank
9,087 | 37.66%
DOI
10.1145/1807167.1807249

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{elmeleegy_sigmod10,
        title = {{Preserving Privacy and Fairness in Peer-to-Peer Data Integration}},
        author = {Elmeleegy, Hazem and Ouzzani, Mourad and Elmagarmid, Ahmed and Abusalah, Ahmad},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807249},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807249},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,284 Lightweight Privacy-Preserving Peer-to-Peer Data Integration 2013 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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