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Investigating Privacy Preserving Technique for Genome Data

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Future Internet Technologies and Trends (ICFITT 2017)

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Abstract

The rapidly growing genome sequencing technology has enabled the production of huge amount of sensitive genomic data. Presently a-days, it is conceivable to create highly detailed genotypes at lower cost. Sharing of genomic dataset is a key to comprehend the hereditary premise of human ailments. Because of the sharing of such information, genuine privacy challenges emerge with the expanded number of hereditary tests and immense gathering of such genomic information. The expanded accessibility of such information has real ramifications for individual protection, since it contains basic elements of human as well as contains, illnesses points of interest, insights about relatives, past and future era, responses to medication and substantially more.

To overcome the privacy issue in genomic data, previously some solutions had been purposed based on encryption techniques. However, the existing solutions has some limitations viz., identification of an individual from Genome Wide Association Study (GWAS) sets, generated test results contain Single Nucleotide Polymorphism (SNP) information about patients etc. In this work, we aim to propose a privacy preserving technique for genomic data that strengthen the security of genomic data.

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Authors and Affiliations

  1. Department of Computer Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, Gujarat, India

    Slesha S. Sanghvi & Sankita J. Patel

Authors
  1. Slesha S. Sanghvi
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  2. Sankita J. Patel
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Correspondence to Slesha S. Sanghvi .

Editor information

Editors and Affiliations

  1. Sardar Vallabhbhai National Institute of Technology, Surat, India

    Zuber Patel

  2. Sardar Vallabhbhai National Institute of Technology, Surat, India

    Shilpi Gupta

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Sanghvi, S.S., Patel, S.J. (2018). Investigating Privacy Preserving Technique for Genome Data. In: Patel, Z., Gupta, S. (eds) Future Internet Technologies and Trends. ICFITT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-319-73712-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-73712-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73711-9

  • Online ISBN: 978-3-319-73712-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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