Development of Integrated Security Control Service Model based on Artificial Intelligence Technology

인공지능 기술기반의 통합보안관제 서비스모델 개발방안

Oh, Young-Tack;Jo, In-June

  • Received : 2018.11.01
  • Accepted : 2018.11.21
  • Published : 2019.01.28


In this paper, we propose a method to apply artificial intelligence technology efficiently to integrated security control technology. In other words, by applying machine learning learning to artificial intelligence based on big data collected in integrated security control system, cyber attacks are detected and appropriately responded. As technology develops, many large capacity Is limited to analyzing individual logs. The analysis method should also be applied to the integrated security control more quickly because it needs to correlate the logs of various heterogeneous security devices rather than one log. We have newly proposed an integrated security service model based on artificial intelligence, which analyzes and responds to these behaviors gradually evolves and matures through effective learning methods. We sought a solution to the key problems expected in the proposed model. And we developed a learning method based on normal behavior based learning model to strengthen the response ability against unidentified abnormal behavior threat. In addition, future research directions for security management that can efficiently support analysis and correspondence of security personnel through proposed security service model are suggested.


Artificial Intelligence;Machine Learning;Integrated Security Control;Security Control;Service Model


  1. 김진홍, 공공기관의 아웃소싱 보안관제 수준 측정지표에 관한 연구, 숭실대학교 대학원 논문지, 2014.
  2. 정진영, 인공지능을 활용한 금융권 통합보안관제 자동화 방안, 건국대학교 정보통신대학원, 석사학위논문, 2018.
  3. 김영인, 국방 인공지능(AI) 활용방안 연구, (사)한국융합보보연구소 연구보고서, 2017.
  4. 최지우, 빅데이터 기반의 보안관제 방안에 대한 실증적 연구, 공주대학교, 2015.
  5. 신기동, 효과적인 보안관제 방법론 정립, 한국산업기술대학교 대학원, 2014.
  6. 김규일, 보안관제 효율성 제고를 위한 실증적 분석 기반 보안이벤트 자동검증 방법, 한국과학기술정보연구원, 2014.