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P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics

Summary: Blockchain-backed decentralized architecture records an authenticated contact-event data structure, enabling verifiable integrity and preventing local tampering. A zero-knowledge proximity verification protocol preserves user privacy while proving proximity claims, with experimental cost analysis of tracing integrity. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6325
Venue
SIGMOD
Year
2021
Pagerank
6.5228433e-05
Overall Rank
4,754 | 67.39%
DOI
10.1145/3448016.3459237

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{peng_sigmod21,
        title = {{P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics}},
        author = {Peng, Zhe and Xu, Cheng and Wang, Haixin and Huang, Jinbin and Xu, Jianliang and Chu, Xiaowen},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3459237},
        url = {https://dl.acm.org/doi/10.1145/3448016.3459237},
        year = {2021}
}

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