An Efficient Method for Securely Storing and Handling of Genomic Data

Youngjoon Ki, Ji Won Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the growth of cloud computing, genomic data is considered to be stored and processed on cloud platform. However, existing file formats to store genomic data does not guarantee the security in case of data leakage by hacker. In this paper, we therefore propose an encrypted version of the variant call format (VCF), which is one of the most widely used file formats to store genomic sequences. The encrypted variant call format (eVCF) supports a privacy preserving data processing on encrypted data and requires only few more seconds and data size than existing VCF.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages121-125
Number of pages5
ISBN (Electronic)9781538648087
DOIs
Publication statusPublished - 2018 Jun 21
Event3rd International Conference on Software Security and Assurance, ICSSA 2017 - Altoona, United States
Duration: 2017 Jul 242017 Jul 25

Publication series

NameProceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017

Conference

Conference3rd International Conference on Software Security and Assurance, ICSSA 2017
CountryUnited States
CityAltoona
Period17/7/2417/7/25

Keywords

  • Genomic Data Management
  • Privacy Preserving

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Ki, Y., & Yoon, J. W. (2018). An Efficient Method for Securely Storing and Handling of Genomic Data. In Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017 (pp. 121-125). (Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSA.2017.13