An Efficient Method for Securely Storing and Handling of Genomic Data

Youngjoon Ki; Ji Won Yoon

doi:10.1109/ICSSA.2017.13

An Efficient Method for Securely Storing and Handling of Genomic Data

Youngjoon Ki, Ji Won Yoon

School of Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	121-125
Number of pages	5
ISBN (Electronic)	9781538648087
DOIs	https://doi.org/10.1109/ICSSA.2017.13
Publication status	Published - 2018 Jun 21
Event	3rd International Conference on Software Security and Assurance, ICSSA 2017 - Altoona, United States Duration: 2017 Jul 24 → 2017 Jul 25

Publication series

Name	Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017

Conference

Conference	3rd International Conference on Software Security and Assurance, ICSSA 2017
Country/Territory	United States
City	Altoona
Period	17/7/24 → 17/7/25

Keywords

Genomic Data Management
Privacy Preserving

ASJC Scopus subject areas

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

Access to Document

10.1109/ICSSA.2017.13

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

An Efficient Method for Securely Storing and Handling of Genomic Data. / Ki, Youngjoon; Yoon, Ji Won.
Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 121-125 (Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ki, Y & Yoon, JW 2018, An Efficient Method for Securely Storing and Handling of Genomic Data. in Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017. Proceedings - 2017 International Conference on Software Security and Assurance, ICSSA 2017, Institute of Electrical and Electronics Engineers Inc., pp. 121-125, 3rd International Conference on Software Security and Assurance, ICSSA 2017, Altoona, United States, 17/7/24. https://doi.org/10.1109/ICSSA.2017.13

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

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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.",

keywords = "Genomic Data Management, Privacy Preserving",

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An Efficient Method for Securely Storing and Handling of Genomic Data

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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