ZQL: A Compiler for Privacy-Preserving Data Processing
Authors:
Cédric Fournet, Markulf Kohlweiss, and George Danezis, Microsoft Research; Zhengqin Luo, MSR-INRIA Joint Centre
Abstract:
ZQL is a query language for expressing simple computations on private data. Its compiler produces code to certify data, perform client-side computations, and verify the correctness of their results. Under the hood, it synthesizes zero-knowledge protocols that guarantee both integrity of the query results and privacy for all other data.
We present the ZQL language, its compilation scheme down to concrete cryptography, and the security guarantees it provides. We report on a prototype compiler that produces F# and C++. We evaluate its performance on queries for smart-meter billing, for pay-as-you-drive insurance policies, and for location-based services.
USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.
BibTeX
@inproceedings {180369,
author = {Cedric Fournet and Markulf Kohlweiss and George Danezis and Zhengqin Luo},
title = {{ZQL}: A Compiler for {Privacy-Preserving} Data Processing},
booktitle = {22nd USENIX Security Symposium (USENIX Security 13)},
year = {2013},
isbn = {978-1-931971-03-4},
address = {Washington, D.C.},
pages = {163--178},
url = {https://www.usenix.org/conference/usenixsecurity13/technical-sessions/presentation/fournet},
publisher = {USENIX Association},
month = aug
}
connect with us