Journal of The Korean Institute of Defense Technology (한국국방기술학회 논문지)

The Korean Institute of Defense Technology (한국국방기술학회)
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A Study on the Data Pseudonymization Methodology for Defense Training Data as Artificial Intelligence Technology is applied to the Defense Field

국방 분야 인공지능 기술 접목에 따른 교육훈련 데이터 가명처리 방법론에 관한 연구

  • Hyunsuk Cho (C4ISTAR 2nd Research & Development, LIG Nex1) ;
  • Sujin Kang (C4ISTAR 2nd Research & Development, LIG Nex1) ;
  • Dongrae Cho (C4ISTAR 2nd Research & Development, LIG Nex1) ;
  • Yeongseop Shin (C4ISTAR 2nd Research & Development, LIG Nex1)
  • 조현석 (LIG넥스원 C4ISTAR연구개발2본부) ;
  • 강수진 (LIG넥스원 C4ISTAR연구개발2본부) ;
  • 조동래 (LIG넥스원 C4ISTAR연구개발2본부) ;
  • 신영섭 (LIG넥스원 C4ISTAR연구개발2본부)
  • Received : 2023.08.26
  • Accepted : 2023.09.22
  • Published : 2023.09.30
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Abstract

Recently, in the defense field, efforts are being made to collect data by building data centers to incorporate artificial intelligence technology. Weapon system training data can be used as input data for artificial intelligence models and can be used as high-quality data to maximize training performance and develop military strategies. However, training data contains personal information such as the names and military numbers of the personnel who operated the equipment, and training records that reveal the characteristics of the weapon system. If such data is passed on to the enemy, not only the specifications and performance of the weapon system but also the proficiency of each operator may be exposed. In this paper, we propose a pseudonym processing methodology for education and training data security and also suggest a direction for revising related laws.

최근 국방 분야에서는 인공지능 기술을 접목하기 위해 데이터센터를 구축하여 데이터를 모으려 한다. 무기체계 훈련 데이터는 인공지능 모델의 입력 데이터로 사용되어 훈련 성과를 극대화하고 군 전략을 발전시킬 수 있는 양질의 데이터로 사용될 수 있다. 하지만 훈련 데이터에는 그 장비를 운용했던 인원의 이름과 군번 등의 개인적인 정보와 무기체계의 특징을 알 수 있는 훈련 기록들을 담고 있다. 이런 데이터가 적군에게 넘어간다면 무기체계의 제원 및 성능뿐만 아니라 운용자별 숙련도도 노출될 수 있다. 본 논문에서는 교육훈련 데이터 보안을 위해 가명처리 방법론을 제안하고 관련 법령의 개정 방향도 제언한다.

Keywords

References

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