Research Article
Database Query System with Budget Option for Differential Privacy Against Repeated Attacks
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@INPROCEEDINGS{10.1007/978-3-030-21373-2_5, author={Jingyu Jia and Yuduo Wu and Yue Guo and Jiqiang Gao and Jin Peng and Peng Ran and Min Li}, title={Database Query System with Budget Option for Differential Privacy Against Repeated Attacks}, proceedings={Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13--14, 2019, Proceedings}, proceedings_a={SPNCE}, year={2019}, month={6}, keywords={Differential privacy Privacy budget Repeated attack Laplace mechanism}, doi={10.1007/978-3-030-21373-2_5} }- Jingyu Jia
Yuduo Wu
Yue Guo
Jiqiang Gao
Jin Peng
Peng Ran
Min Li
Year: 2019
Database Query System with Budget Option for Differential Privacy Against Repeated Attacks
SPNCE
Springer
DOI: 10.1007/978-3-030-21373-2_5
Abstract
Differential privacy enables data analysis while protecting individual privacy. However, existing differential privacy database platforms do not defend against repeated attacks. This paper proposes a practical Database Query System for differential privacy protection against repeated attacks with customizable privacy budget. By limiting adversary’s success probability and the number of attacks, the administrator can protect privacy against the repeated attacks. We conduct an evaluation of this solution, and explain the applicability of this system.
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