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SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database

Summary: SecuDB places a complete relational DBMS inside Intel TDX, combining column/log/statistics masking for multi-granularity privacy with TEE-endorsed temporal tables for tamper-evident data and query verification. It retains 84.7–94.7% performance, with <22.6% tamper-resistance overhead. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13781
Venue
VLDB
Year
2024
Pagerank
5.3766157e-05
Overall Rank
8,730 | 40.11%
DOI
10.14778/3685800.3685815

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yang_vldb24,
        title = {{SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database}},
        author = {Yang, Xinying and Yue, Cong and Zhang, Wenhui and Liu, Yang and Ooi, Beng Chin and Chen, Jianjun},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {3906--3919},
        doi = {10.14778/3685800.3685815},
        url = {https://doi.org/10.14778/3685800.3685815},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,516 SACK: Shielding Dynamic Attribute-based Access Control in Persistent Key-Value Stores 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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