Privacy protection for genomic data: current techniques and challenges

Baig, Muzammil M. and Li, Jiuyong and Liu, Jixue and Wang, Hua and Wang, Junhu (2010) Privacy protection for genomic data: current techniques and challenges. In: Advances in intelligent information systems. Studies in Computational Intelligence (265). Springer-Verlag, Berlin, Germany, pp. 175-193. ISBN 978-3-642-05182-1

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Abstract

Human genomic data is a treasure that holds rich information for bioresearch. The share of human genomic data is necessary for the continuous progress of biology, medicine and health research. However, human genomic data also contains private information of individuals. Human genomic data may be maliciously used to find out the genetic tendency for a disease, and even to track descendents and relatives of the individual. In this paper, we review some techniques for protecting privacy in sharing human genomic data and discuss problems and challenges.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2010 Springer-Verlag Berlin Heidelberg. Electronic copy held by USQ Library Author version not held.
Depositing User: Dr Hua Wang
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 12 Jan 2011 11:47
Last Modified: 27 Jun 2014 04:45
Uncontrolled Keywords: genomic data; DNA sequence; privacy
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111711 Health Information Systems (incl. Surveillance)
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1007/978-3-642-05183-8_7
URI: http://eprints.usq.edu.au/id/eprint/7322

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