본문 바로가기
KERD
논문KCI 등재

텍스트마이닝을 이용한 정보보호 연구동향 분석

Research Trends Analysis of Information Security using Text Mining

0

조회

0

다운로드

12

인용

0

참고문헌

키워드

초록

With the development of IT technology, various services such as artificial intelligence and autonomous vehicles are being introduced, and many changes are taking place in our lives. However, if secure security is not provided, it will cause many risks, so the information security becomes more important. In this paper, we analyzed the research trends of main themes of information security over time. In order to conduct the research, 'Information Security' was searched in the Web of Science database. Using the abstracts of theses published from 1991 to 2016, we derived main research topics through topic modeling and time series regression analysis. The topic modeling results showed that the research topics were Information technology, system access, attack, threat, risk management, network type, security management, security awareness, certification level, information protection organization, security policy, access control, personal information, security investment, computing environment, investment cost, system structure, authentication method, user behavior, encryption. The time series regression results indicated that all the topics were hot topics.

Abstract

With the development of IT technology, various services such as artificial intelligence and autonomous vehicles are being introduced, and many changes are taking place in our lives. However, if secure security is not provided, it will cause many risks, so the information security becomes more important. In this paper, we analyzed the research trends of main themes of information security over time. In order to conduct the research, 'Information Security' was searched in the Web of Science database. Using the abstracts of theses published from 1991 to 2016, we derived main research topics through topic modeling and time series regression analysis. The topic modeling results showed that the research topics were Information technology, system access, attack, threat, risk management, network type, security management, security awareness, certification level, information protection organization, security policy, access control, personal information, security investment, computing environment, investment cost, system structure, authentication method, user behavior, encryption. The time series regression results indicated that all the topics were hot topics.

참고문헌 (10)

  1. 이기헌, "문헌정보학 분야 핵심 학술지들의 가중 주제 - 방법 네트워크 분석", 한국문헌정보학회지, 49(3), pp.457~488 (2015), 한국문헌정보학회[DOI]
  2. 김창식, "토픽모델링과 시계열회귀분석을 활용한 정보시스템분야 연구동향 분석", 디지털콘텐츠학회논문지, 18(6), pp.1143~1150 (2017), 한국디지털콘텐츠학회[DOI]
  3. 김성근, "학술연구에서의 텍스트마이닝 활용 현황과 주요분석기법", 정보화연구, 13(2), pp.317~329 (2016), 한국엔터프라이즈아키텍처학회
  4. Blei, D., "Latent Dirichlet Allocation", Journal of Machine Learning Research, 3, pp.993~1022 (2003)
  5. 김남규, "텍스트 분석 기술 및 활용 동향", 한국통신학회논문지, 42(2), pp.471~492 (2017), 한국통신학회[DOI]
  6. T. L. Griffiths, "Finding scientific topics", Proc. National Academy Sci., 101(1), pp.5228~5235 (2004)[DOI]
  7. 박자현, "토픽모델링을 활용한 국내 문헌정보학 연구동향 분석", 정보관리학회지, 30(1), pp.7~32 (2013), 한국정보관리학회[DOI]
  8. 오준석, "텍스트마이닝 방법을 통한 국내 교통·ICT 융합 분야 연구기회 발견", 교통연구, 22(4), pp.93~110 (2015), 한국교통연구원[DOI]
  9. 나상태, "토픽 모델링을 이용한 시뮬레이션 연구 동향 분석", 한국시뮬레이션학회 논문지, 25(3), pp.107~116 (2016), 한국시뮬레이션학회
  10. 임효창, "7S 모델과 경쟁가치 모델을 활용한 기업보안 조직문화 진단 도구 개발", 경영컨설팅연구, 17(3), pp.183~192 (2017), 한국경영컨설팅학회

관련 논문AI추천

이 간행물의 다른 논문 (12건)