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Privacy-Preserving Genetic Relatedness Test

De Cristofaro, E; Liang, K; Zhang, Y; (2016) Privacy-Preserving Genetic Relatedness Test. In: Proceedings of the 3rd International Workshop on Genome Privacy and Security (GenoPri'16). International Workshop on Genome Privacy and Security: Chicago, IL, USA. Green open access

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Abstract

An increasing number of individuals are turning to Direct-To-Consumer genetic testing to learn about their predisposition to diseases, traits, and/or ancestry. Direct-to-consumer companies like 23andme and Ancestry.com have started to offer popular ancestry and genealogy tests, with services allowing users to find unknown relatives and long-distant cousins. Naturally, access and possible dissemination of genetic data prompts serious privacy concerns, thus motivating the need to design efficient primitives supporting private genetic tests. In this paper, we present an effective protocol for privacy-preserving genetic relatedness test, enabling a cloud server to run relatedness tests on input an encrypted genetic database and a test facility’s encrypted genetic sample. We reduce the test to a data matching problem and perform it, “secretly”, using searchable encryption. Finally, performance evaluation for privacy-preserving hamming distance attests to the practicality of our proposals.

Type: Proceedings paper
Title: Privacy-Preserving Genetic Relatedness Test
Event: 3rd International Workshop on Genome Privacy and Security (GenoPri'16)
Location: Chicago, IL, USA
Dates: 12 November 2016 - 12 November 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: http://2016.genopri.org/uploads/3/9/9/9/39999711/g...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1527557
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