Privacy-Preserving Network Provenance
Summary: Privacy-preserving network provenance via cryptographic framework; confidential subgraph sharing with preserved query access. SSE and structured encryption enforce post-distribution access control; prototype shows practicality, scalability, and efficient provenance maintenance and querying. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuankai Zhang (Georgetown University)
- 2. Adam O'Neill (Georgetown University)
- 3. Micah Sherr (Georgetown University)
- 4. Wenchao Zhou (Georgetown University)
BibTeX Citation
@article{zhang_vldb17,
title = {{Privacy-Preserving Network Provenance}},
author = {Zhang, Yuankai and O'Neill, Adam and Sherr, Micah and Zhou, Wenchao},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1550--1563},
doi = {10.14778/3137628.3137657},
url = {https://doi.org/10.14778/3137628.3137657},
year = {2017}
}
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