Evaluating the Strength of Genomic Privacy Metrics

Date

2017-02-06

Advisors

Journal Title

Journal ISSN

ISSN

2471-2566

Volume Title

Publisher

ACM

Type

Article

Peer reviewed

Yes

Abstract

The genome is a unique identifier for human individuals. The genome also contains highly sensitive information, creating a high potential for misuse of genomic data (for example, genetic discrimination). In this paper, we investigate how genomic privacy can be measured in scenarios where an adversary aims to infer a person’s genomic markers by constructing probability distributions on the values of genetic variations. We measured the strength of privacy metrics by requiring that metrics are monotonic with increasing adversary strength and uncovered serious problems with several existing metrics currently used to measure genomic privacy. We provide suggestions on metric selection, interpretation, and visualization, and illustrate the work flow using case studies for three real-world diseases.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

privacy metrics, genomic privacy, ARCHER

Citation

Wagner, I. (2017) Evaluating the strength of genomic privacy metrics. ACM Transactions on Privacy and Security (TOPS) 20 (1), Article 2

Rights

Research Institute

Cyber Technology Institute (CTI)