DOI QR코드

DOI QR Code

Research on major technology trends in the field of financial security through Korea and foreign patent data analysis

국내외 특허 데이터 분석을 통한 금융보안 분야 주요 기술 동향 분석연구

  • Chae, Ho-Kuen (Department of Industrial Engineering, Ajou University) ;
  • Lee, Jooyeoun (Department of Industrial Engineering, Ajou University)
  • Received : 2020.03.23
  • Accepted : 2020.06.20
  • Published : 2020.06.28

Abstract

Electronic financial transactions are also actively increasing due to the rapid spread of information communication media such as the Internet, smart devices, and IoT, but as a derivative by-product, threats of financial security such as leakage of various personal information and hacking are also increasing. Therefore, the importance of financial security against this is increasing, but in Korea, financial security technology is relatively insufficient compared to advanced countries in the field of financial security, such as Active-X. Therefore, this study aims to present the major development direction in the domestic financial security field by comparing key technology trends with IPC classification frequency analysis, keyword frequency analysis, and keyword network analysis based on domestic and foreign financial security-related patent data. In conclusion, it seems that recent domestic and foreign trends have focused on the development of related technologies according to the development of smart device-based electronic financial services. Accordingly, it is intended to be used as the basis data for technology development of financial security by mapping the trend of financial security research trend and technology trend analysis through thesis data analysis that reflects the research of the preceding aspect as the technology of commercialization in the future.

인터넷과 스마트 디바이스, IoT와 같은 정보통신매체의 급격한 보급으로 전자금융거래 또한 활발히 증가하고 있지만 이에 따른 파생적 부산물로써 각종 개인정보 유출, 해킹과 같은 금융보안의 위협 또한 증가하고 있다. 따라서 이에 대비한 금융보안의 중요성은 높아지고 있지만 국내의 경우 아직 Active-X를 사용하고 있는 등 금융보안 분야의 선진국에 비해서는 상대적으로 금융보안 기술력이 미흡한 실정이다. 이에 본 연구에서는 국내·외 금융보안 관련 특허데이터를 토대로 IPC 분류 빈도분석, 키워드 빈도분석, 키워드 네트워크 분석으로 주요기술 동향을 비교하여 국내의 금융보안 분야의 주요 발전 방향성을 제시하고자 한다. 결론적으로는 최근 국내외 동향은 스마트 디바이스 기반 전자금융서비스 개발에 따른 관련 기술 개발에 초점이 맞춰진 것으로 판단된다. 이에 향후 상용화 단계의 기술로 선행적인 측면의 연구를 반영하는 논문 데이터 분석을 통해 금융보안 연구동향과 기술동향 분석 결과를 매핑함으로써 금융보안의 기술개발을 위한 기반데이터로 활용될 수 있고자 한다.

Keywords

References

  1. B. W. Kim. (2015). A Study on the Activation of Domestic Fintech Industry. The Business Education Journal 26(1), 47-73.
  2. Vance, Anthony & Lowry, Paul & Eggett, Dennis. (2013). Using Accountability to Reduce Access Policy Violations in Information Systems. Journal of Management Information Systems. 29. 263-289. 10.2753/MIS0742-1222290410.
  3. Gewald, Heiko & Dibbern, Jens. (2009). Risks and benefits of business process outsourcing: A study of transaction services in the German banking industry. Information & Management. 46. 249-257. 10.1016/j.im.2009.03.002.
  4. Lee, Jun-taek and Cha In-hwan. (2013). Trends in information security technology in the financial sector. The Magazine of the IEIE, 40 (8), 16-29.
  5. Lee, Gangshin. (2015). A Study on Improving Security Controls in the Electronic Financial Transaction. Korea Institute Of Information Security And Cryptology, 25(4), 881-888. https://doi.org/10.13089/JKIISC.2015.25.4.881
  6. Junng, Ha-Gyo, Whang, Kyu-Seung. (2008). The Technological Competitiveness Analysis of Aircraft-based Industries using Patent Information. Korean Management Science Review, 25(2), 111-127.
  7. Kim, Hong-gyun. (2004). Characteristics of patent information. The Polymer Society Of Korea, 15(6), 743-749.
  8. Gu, Ja-Wook, Lee, Jong-Ho, Chung, Myoung-Sug, & Lee, Joo-yeoun. (2017). Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data. Journal of Digital Convergence, 15(2), 165-172. https://doi.org/10.14400/JDC.2017.15.2.165
  9. Chung, M. S., Jeong, S.-H., & Lee, J. Y. (2018). Analysis of major research trends in artificial intelligence based on domestic/international patent data. Journal of Digital Convergence, 16(6), 187-195. https://doi.org/10.14400/JDC.2018.16.6.187
  10. Kim, D., Cho, S. H., Lee, J., KIM, M. S., & Kim, N.-H. (2018). A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis. Journal of Digital Convergence, 16(9), 229-237. https://doi.org/10.14400/JDC.2018.16.9.229
  11. Y. H. Byun. (2017). Technology Trend Analysis of Energy Storage System. The Korean Institute of Power Electronics, (), 87-87.
  12. S. H. Park, J. Y. Kim & Y. H. Lee. (2016). Mobile Biometric Technical Trend Analysis. Journal of the IEIE conference, 812-814.
  13. S. H. Park, J. K. Park, Y. S. Hong & J. Y. Kim. (2016). Next Generation Near Field Wireless Communication Technology Trend Analysis - focusing the Li-Fi Technology -, Journal of the IEIE conference, 1782-1785.
  14. T. M. Han, S. I. Cho, H. S. Jeon & J. D. Heo. (2015). Analysis of Technology Trends in the Smart Cars and the IoV. Electronics and Telecommunications Trends, 30(5), 11-21. (DOI: 10.22648/ETRI.2015.J.300502)
  15. D. G. Kim. (2015). Analysis of Ground Penetration Radar Technology Trend, Electronics and Telecommunications Trends, 30(5), 22-27. (DOI: 10.22648/ETRI.2015.J.300503)
  16. Y. C. Yoon, H. J. Kim, K. H. Jang, J. W. Lee, H. W. Jo & H. K. Kim. (2015). Trends of Mobile Application Market Analysis Technology. Electronics and Telecommunications Trends, 30(4), 82-91.
  17. J. S. Hyun, K. D. Kim, H. J. Jung, Y. H. Kim, J. S. So & J. W. Kim. (2015). Technical Trend Analysis of Railway Axle box bearing, Journal of the Korean Society for Railway Conference, 598-603.
  18. C. J. Chung, Chan-Joo, Kim, Seung-Joo, Won, Dong-Ho. (2008). A study on online identification method using financial security OTP. Journal of Information Security & Cryptology, 18(5), 73-83.
  19. J. O. Kwon. (2009). Secure Key Exchange Protocols against Leakage of Long-tenn Private Keys for Financial Security Servers. Journal of the Korea Institute of Information Security & Cryptology, 19(3), 119-131.
  20. Y. S. Sohn, A. B. Kang & S. C. Park. (2008). A study. The Journal of Korean Institute of Communications and Information Sciences, (), 686-690.
  21. H. Y. Kim. (2018). Analysis of Security Threats and Countermeasures on Blockchain Platforms. The Journal of Korean Institute of Information Technology, 16(5), 103-112. https://doi.org/10.14801/jkiit.2018.16.5.103
  22. J. H. Nah. (2019). Guidelines for safe fintech services. Korea Institute of Information Security and Cryptology, 29(4), 19-24.
  23. J. H. Lee & S. Y. T. Lee. (2015). A Study on the Factors for Violation of Information Security Policy in Financial Companies : Moderating Effects of Perceived Customer Information Sensitivity. Journal of Information Technology Applications and Management, 22(4), 225-251. https://doi.org/10.21219/JITAM.2015.22.4.225
  24. G. Kim, S. Kim & K. Park. (2013). The Study on Financial Firm's Performance Resulting from Security Countermeasures and the Moderating Effect of Transformational Leadership. Journal of the Korean Operations Research and Management Science Society, 38(4), 95-112. https://doi.org/10.7737/jkorms.2013.38.4.095
  25. H. K. Lee. (2017). A Study on Regulations, Current Status and Implications of Electronic Finance and Financial Security in the U.S. Korea Business law association, 31(3), 491-529.
  26. J. T. Lee & I. H. Cha. (2013). Trends in information security technology in the financial sector. The Institute of Electronics and Information Engineers, 40(8), 16-29.
  27. Y. S. Kim, S. M. Rue & Y. K. Park. (2015). IoT Convergence on Finance: Fintech Trend Analysis. JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE, 13(2), 45-50.
  28. S. S. Lee, "Network analysis methods", Nonhyeong, 2013.
  29. Y. G. Hyun, J. H. Han, U. R. Chae, G. H. Lee & J. Y. Lee. (2020). A Study On Technical Trend Analysis Related to Semantic Analysis of NLP Through Domestic/Foreign Patent Data. Journal of Digital Convergence, 18(1), 137-146. https://doi.org/10.14400/JDC.2020.18.1.137