Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Anonymity Personal Information Secure Method in Big Data environment

빅데이터 환경에서 개인정보 익명화를 통한 보호 방안

  • Hong, Sunghyuck (Division of Information & Communication, Baekseok University) ;
  • Park, Sang-Hee (Division of Information & Communication, Baekseok University)
  • 홍성혁 (백석대학교 정보통신학부) ;
  • 박상희 (백석대학교 정보통신학부)
  • Received : 2018.01.31
  • Accepted : 2018.02.20
  • Published : 2018.02.28
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Abstract

Big Data is strictly positioning one of method to deal with problems faced with mankind, not an icon of revolution in future anymore. Application of Big Data and protection of personal information have contradictoriness. When we weight more to usage of Big Data, someone's privacy is necessarily invaded. otherwise, we care more about keeping safe of individual information, only low-level of research using Big Data can be used to accomplish public purpose. In this study, we propose a method to anonymize Big Data collected in order to investigate the problems of personal information infringement and utilize Big Data and protect personal. This will solve the problem of personal information infringement as well as utilizing Big Data.

빅데이터는 이제 더 이상 미래 혁신의 아이콘이 아니라 인류가 당면한 과제를 해결하기 위한 하나의 수단으로써 공고히 자리매김해 가고 있다. 빅데이터의 활용과 개인정보 보호는 분명 양면성을 갖고 있다. 데이터의 활용을 강조할 경우 개인이 공개를 원하지 않는 사생활은 필연적으로 침해 될 것이고, 개인정보 보호를 강조할 경우 어설픈 수준의 빅데이터 연구만 가능해 공공의 목적을 달성 하는데 어려움을 겪을 수 있다. 본 연구에서는 개인정보 침해의 문제점을 알아보고 빅데이터의 활용과 개인정보의 보호를 하기 위해서 취합하는 빅데이터를 익명화하는 방안을 제시하였다. 이를통해 빅데이터 활용 뿐만 아니라 개인정보 침해의 문제점을 해결할 수 있을 것으로 보인다.

Keywords

References

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