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키워드 빈도와 중심성 분석을 이용한 인공지능 보안 연구 동향 : 미국·영국·한국을 중심으로

Research Trend on AI Security Using Keyword Frequency and Centrality Analysis : Focusing on the United States, United Kingdom, South Korea

이택균
(사)디지털산업정보학회 (The Korea Society of Digital Industry and Information Management)|2023.12|(사)디지털산업정보학회 논문지 (Journal of the Korea Society of Digital Industry and Information Management)|제19권 제4호|pp. 13-27

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키워드

Artificial IntelligenceCentralityFrequencySecurity

초록

In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

Abstract

In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

참고문헌 (36)

  1. 한옥영, "4차 산업혁명시대의 인공지능동향 연구", 인터냇정보학회지, 18(1), pp.19~26 (2017)
  2. Kim, J., "A Study on Strategic Response to Future social Change in the Age of the Fourth Industrial Revolustion", Korea Institute of Science & Technology Evaluation and Planning, 15, pp.45~58 (2017)
  3. Wang, X., "Research on the Application of Internet of Things Based on Artificial Intelligence Technology", 2021 International Conference on Aviation Safety and Information Technology (2021)
  4. C, W., "Intelligent System with the IoT: A survey on techniques of Artificial Intelligence over the field of Internet of Things", 2022 8th International Conference on Advanced Computing and Communication Systems (2022)
  5. 배재권, "스마트 헬스케어 산업의 인공지능 기술 적용에 관한 연구", 로고스경영연구, 19(4), pp.180~197 (2021), 한국로고스경영학회[DOI]
  6. Zhu, Y., "Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions", International Journal of Computational Intelligence Systems, 16(105), pp.1~10 (2023)
  7. 인공지능(AI) 기반 스마트시티 도입을 위한 추진과제, "민수진", ETRI Insight, 1~8 (2019)
  8. Javed, A., "A Survey of Explainable Artificial Intelligence for Smart Cities", Electronics, 12(4), pp.1~40 (2023)
  9. Wu, H., "Research on Artificial Intelligence Enhancing Internet of Things Security : A Survey", IEEE Access, 8, pp.153826~153848 (2020)
  10. Xu, Z., "Artificial Intelligence for Securing IoT Services in Edge Computing : A Survey", Security and Communication Networks, 2020, pp.1~13 (2020)
  11. Alabdulatif, A., "Security of Blockchain and AI-Empowered Smart Healthcare : Application-Based Analysis", Applied Science, 12(21), pp.1~32 (2022)
  12. Gami, B., "Artificial intelligence-based blockchain solutions for intelligent healthcare : A comprehensive review on privacy preserving techniques", Transactions on Emerging Telecommunications Technologies, 34(9), pp.1~34 (2023)
  13. Srivastava, S., "Safety and Security in Smart Cities Using Artificial Intelligence-A Reivew", 2017 7th International Conference on Cloud Computing, Data Science & Engineering (2017)
  14. Jia, Y., "Artificial Intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the MDATA model", Knowledge-Based Systems, 276, pp.1~8 (2023)
  15. 인공지능 기반의 사이버보안 기술 동향, "이정률", KOSEN, ~ (2019)
  16. 유진호, "AI중심사회의도래와 보안 이유 분석", KISA INSIGHT, 3, pp.1~29 (2022)
  17. 서동일, "AI와 네트워크 시대, 보안의 조건", TTA 저널, 206, pp.20~25 (2023)
  18. 인공지능(AI)기반의 정보보호 기술 동향, "이태진", KISA, 51~59 (2020)
  19. Azambuja, A., "Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0-A Survey", Electronics, 12(8), pp.1~18 (2023)
  20. Salama, R., "The ways in which Artificial Intelligence improves several facets of Cyber Security- A survey", 2023 International Conference on Computational Intelligence, Communication Technology and Networking (2023)
  21. Hlavke, J, "Security, Privacy, and Information-Sharing Aspects of Healthcare Artificial Intelligence", Artificial Intelligence in Healthcare, pp.235~270 (2020)
  22. Morovat, K., "A Survey of Artificial Intelligence in CyberSecurity", 2020 International Conference on Computational Science and Computational Intelligence (2020)
  23. Thuraisingham, B., "Cyber Security and Artificial Intelligence for Cloud-based Internet of Transportation", 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (2020)
  24. Lovejoy, C., "Technology and Mental Healthcare: The Role of Artificial Intelligence", European Psychiatry, 55, pp.1~3 (2019)
  25. Darraj, E., "Artificial intelligence cybersecurity framework: Preparing for the here and now with ai", 18th European Conference on Information Warfare and Security, pp.132~141 (2019)
  26. Raja, G., "AI-Powered blockchain - A decentralized secure multiparty computation protocol for IoV", IEEE INFOCOM 2020 Workshops, pp.865~870 (2020)
  27. Jeong, D., "Artficial Intelligence Security Threat, Crime, and Forensics: Taxonomy and Open Issues", IEEE Access, 8, pp.184560~184574 (2020)
  28. Kim, S., "Artificial Neural Network Blockchain Techniques for Healthcare System:Focusing on the Personal Healthe Records", Electronics, 9(5), pp.1~30 (2020)
  29. Singh, S., "Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city", Sustainable Cities and Society, 63, pp.1~16 (2020)
  30. 유재호, "텍스트 분석을 활용한 기후변화 연구 동향 분석 - 한국기후변화학회지를 중심으로 -", 한국기후변화학회지, 10(3), pp.161~172 (2019), 한국기후변화학회[DOI]
  31. 황동열, "빅데이터 기술을 활용한 인문콘텐츠 분야의 의미연결망 분석 - 2003년부터 2015년까지 인문콘텐츠학회 논문을 중심으로 -", 인문콘텐츠, (43), pp.229~255 (2016), 인문콘텐츠학회[DOI]
  32. 황서이, "영상콘텐츠분야 정권별 빅데이터 분석 - 상위 중심성 값의 변화를 중심으로", 디지털콘텐츠학회논문지, 18(5), pp.911~921 (2017), 한국디지털콘텐츠학회[DOI]
  33. 한지윤, "인공지능교육 관련 연구 동향분석: 키워드 네트워크 분석", 인공지능연구 논문지, 1(2), pp.20~33 (2020)
  34. 주재홍, "키워드 네트워크 분석을 활용한 지식은폐 연구동향 분석", 지식경영연구, 22(1), pp.217~242 (2021), 한국지식경영학회[DOI]
  35. 류기진, "사회연결망 분석을 이용한 컨테이너 정기선 항로 패턴 분석에 관한 연구 : 부산항을 중심으로", 한국항해항만학회지, 42(6), pp.529~538 (2018), 한국항해항만학회[DOI]
  36. 이택균, "키워드 빈도 및 중심성 분석 기반의 머신러닝 헬스케어 연구 동향 : 미국·영국·한국을 중심으로", (사)디지털산업정보학회 논문지, 19(3), pp.149~163 (2023), (사)디지털산업정보학회

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