Accelerating Confidential Databases with Crypto-Free Mappings
Wenxuan Huang, Zhanbo Wang, Mingyu Li
Abstract
Confidential databases (CDBs) enable secure queries over sensitive data in untrusted cloud environments using confidential computing hardware. While adoption is growing, widespread deployment is hindered by high overheads from frequent synchronous cryptographic operations, which cause significant computational and I/O bottlenecks.
ZENO is a novel CDB design that removes cryptographic operations from the critical path. It introduces crypto-free mappings that maintain data-independent identifiers within the database while securely mapping them to plaintext secrets in a trusted domain. This paradigm shift yields substantial performance gains across industry-standard benchmarks (TPC-C, TPC-H) and a real-world industrial workload. Specifically, ZENO speeds up TPC-H queries by up to 53.1× on ARM S-EL2 and 94.7× on x86 TDX compared to HEDB. ZENO's optimization techniques have been integrated into GaussDB.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 5c1079be-18a0-4642-990e-13defbf6e119Builds on25
- Spectre Attacks: Exploiting Speculative ExecutionPaul Kocher, Jann Horn, Anders Fogh, Daniel Genkin et al.S&P 2019 · 2,435 citations
- Keystone: an open framework for architecting trusted execution environmentsDayeol Lee, David Kohlbrenner, Shweta Shinde, Krste Asanovic et al.EuroSys 2020 · 381 citations
- EnclaveDB: A Secure Database Using SGXChristian Priebe, Kapil Vaswani, Manuel CostaS&P 2018 · 329 citations
- Oblix: An Efficient Oblivious Search IndexPratyush Mishra, Rishabh Poddar, Jerry Chen, Alessandro Chiesa et al.S&P 2018 · 200 citations
- Scalable Memory Protection in the PENGLAI EnclaveErhu Feng, Xu Lu, Dong Du, Bicheng Yang et al.OSDI 2021 · 126 citations
Related papers
- PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query VerificationBinbin Gu, Juncheng Fang, Faisal NawabSIGMOD 2025 · 5 citations
- ObliDB: Oblivious Query Processing for Secure DatabasesSaba Eskandarian, Matei ZahariaVLDB 2020 · 127 citations
- APEX: Accurate Parallel Expressive Homomorphic Execution for Encrypted DatabasesWei Chen, Qi Hu, Siu-Ming Yiu, Heming CuiS&P 2026
- VeriDB: An SGX-based Verifiable DatabaseWenchao Zhou, Yifan Cai, Yanqing Peng, Sheng Wang et al.SIGMOD 2021 · 52 citations
- NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query EngineBoram Jung, Hung-Wei Tseng, Yuliang LiSIGMOD 2026 · 2 citations
