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Lightweight Privacy-Preserving Peer-to-Peer Data Integration

Summary: Proposes privacy-preserving PDMS protocols guaranteeing answer privacy via oblivious transfer and better mapping privacy than PPP. Extends to parallel translation under collusion-resilient peers, with experiments showing improved privacy and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10833
Venue
VLDB
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,284 | 15.73%
DOI
10.14778/2535573.2535575

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Authors

BibTeX Citation

@article{zhang_vldb13,
        title = {{Lightweight Privacy-Preserving Peer-to-Peer Data Integration}},
        author = {Zhang, Ye and Wong, Wai-Kit and Yiu, S.M. and Mamoulis, Nikos and Cheung, David W.},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {3},
        pages = {157--168},
        doi = {10.14778/2535573.2535575},
        url = {https://doi.org/10.14778/2535573.2535575},
        year = {2013}
}

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