Communications of the ACM
Protecting Identities in a Sea of Big Data
New research projects by University of Arkansas computer scientist Xintao Wu should help ensure the identities of genomics study participants are shielded.
Credit: University of Arkansas University Relations
New research projects by University of Arkansas computer scientist Xintao Wu should help ensure the identities of participants in genomic studies are completely shielded.
Wu has received two grants totaling $436,713 from the U.S. National Science Foundation to build an education framework for genetic privacy protection. "How we protect genetic privacy has become a very important and challenging topic as the era of personal genomics is quickly approaching," Wu says.
His research group is developing solutions to protect privacy when researchers mine tabular data, social network data, healthcare data, and genetic data. The team will develop a Web-based tool that provides researchers with secure, reliable, and privacy-preserving access to anonymous raw data and statistics.
Wu also will evaluate potential privacy breaches due to released genomic statistics and analyses. In a separate project involving a $170,002 award from the U.S. National Institutes of Health, Wu will establish privacy preservation techniques for mining individuals' sensitive biomarker data, physical activities, and social activities.
From University of Arkansas
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