Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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A Study on De-Identification Methods to Create a Basis for Safety Report Text Mining Analysis

항공안전 보고 데이터 텍스트 분석 기반 조성을 위한 비식별 처리 기술 적용 연구

  • 황도빈 (항공우주산학융합원 항공우주정보센터) ;
  • 김영곤 (네이버시스템(주) I&G 사업본부) ;
  • 심영민 (항공우주산학융합원 항공우주정보센터)
  • Received : 2021.08.18
  • Accepted : 2021.12.13
  • Published : 2021.12.31
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Abstract

In order to identify and analyze potential aviation safety hazards, analysis of aviation safety report data must be preceded. Therefore, in consideration of the provisions of the Aviation Safety Act and the recommendations of ICAO Doc 9859 SMM Edition 4th, personal information in the reporting data and sensitive information of the reporter, etc. It identifies the scope of de-identification targets and suggests a method for applying de-identification processing technology to personal and sensitive information including unstructured text data.

Keywords

Acknowledgement

본 연구는 빅데이터 기반 항공안전관리 기술 개발 및 플랫폼 구축사업(20BDAS-B158275-01)을 통해 수행되었다.

References

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  2. OGPC, MOIS, KCC, FSC, MSIFP, and MOHW, "Guidelines for actions against personal information de-identification", 2016, KISA, p.30.
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