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2015 IEEE 31st International Conference on Data Engineering (ICDE) (2015)
Seoul, South Korea
April 13, 2015 to April 17, 2015
ISBN: 978-1-4799-7964-6
pp: 1011-1022
Jianneng Cao , Institute for Infocomm Research, Singapore
Fang-Yu Rao , Purdue University, USA
Elisa Bertino , Purdue University, USA
Murat Kantarcioglu , University of Texas at Dallas, USA
Private record linkage protocols allow multiple parties to exchange matching records, which refer to the same entities or have similar values, while keeping the non-matching ones secret. Conventional protocols are based on computationally expensive cryptographic primitives and therefore do not scale. To address these scalability issues, hybrid protocols have been recently proposed that combine differential privacy techniques with secure multiparty computation techniques. However, a drawback of such protocols is that they disclose to the parties both the matching records and the differentially private synopses of the datasets involved in the linkage. Consequently, differential privacy is no longer always satisfied. To address this issue, we propose a novel framework, which separates the private synopses from the matching records. The two parties do not access the synopses directly, but still use them to efficiently link records. We theoretically prove the security of our framework. In addition, we have developed a simple but effective strategy for releasing private synopses. Extensive experimental results show that our framework is superior to the existing methods in terms of both recall rate and efficiency.
Privacy, Protocols, Couplings, Cryptography, Noise, Mathematical model
Jianneng Cao, Fang-Yu Rao, Elisa Bertino, Murat Kantarcioglu, "A hybrid private record linkage scheme: Separating differentially private synopses from matching records", 2015 IEEE 31st International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 1011-1022, 2015, doi:10.1109/ICDE.2015.7113352
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