DOI QR코드

DOI QR Code

Strategy Design to Protect Personal Information on Fake News based on Bigdata and Artificial Intelligence

  • Kang, Jangmook (Department of Bigdata & Industry Security, Namseoul University) ;
  • Lee, Sangwon (Department of Computer & Software Engineering, Wonkwang University)
  • Received : 2019.03.24
  • Accepted : 2019.04.09
  • Published : 2019.05.31

Abstract

The emergence of new IT technologies and convergence industries, such as artificial intelligence, bigdata and the Internet of Things, is another chance for South Korea, which has established itself as one of the world's top IT powerhouses. On the other hand, however, privacy concerns that may arise in the process of using such technologies raise the task of harmonizing the development of new industries and the protection of personal information at the same time. In response, the government clearly presented the criteria for deidentifiable measures of personal information and the scope of use of deidentifiable information needed to ensure that bigdata can be safely utilized within the framework of the current Personal Information Protection Act. It strives to promote corporate investment and industrial development by removing them and to ensure that the protection of the people's personal information and human rights is not neglected. This study discusses the strategy of deidentifying personal information protection based on the analysis of fake news. Using the strategies derived from this study, it is assumed that deidentification information that is appropriate for deidentification measures is not personal information and can therefore be used for analysis of big data. By doing so, deidentification information can be safely utilized and managed through administrative and technical safeguards to prevent re-identification, considering the possibility of re-identification due to technology development and data growth.

Keywords

References

  1. S. Park, J.S. Hwang, and S. Lee, "A Study on the Link Server Development Using B-Tree Structure in the Bigdata Environment", Journal of Internet Computing and Services, Vol. 16. No. 1. pp. 75-82, 2015. DOI: https://doi.org/10.7472/jksii.2015.16.1.75.
  2. S.B. Park, S. Lee, S.W. Chae, and H. Zo, "An Empirical Study of the Factors Influencing the Task Performances of SaaS Users", Asia Pacific Journal of Information Systems, Vol. 25. No. 2. pp. 265-288, 2015. DOI: https://doi.org/10.14329/apjis.2015.25.2.265.
  3. S. Park, and S. Lee, "Big Data-oriented Analysis on Issues of the Hyper-connected Society", The E-Business Studies, Vol. 16. No. 5. pp. 3-18, 2015. DOI: https://doi.org/10.15719/geba.16.5.201510.3.
  4. Jumin Lee, S.B. Park, and S. Lee, "Are Negative Online Consumer Reviews Always Bad? A Two-Sided Message Perspective", Asia Pacific Journal of Information Systems, Vol. 25. No. 4. pp. 784-804, 2015. DOI: https://doi.org/10.14329/apjis.2015.25.4.784.
  5. J.K. Kim, S.W. Lee, and D.O. Choi, "Relevance Analysis Online Advertisement and e-Commerce Sales", Journal of the Korea Entertainment Industry Association, Vol. 10. No. 2. pp. 27-35, 2016. DOI: https://doi.org/10.21184/jkeia.2016.04.10.2.27.
  6. S.W. Lee, and S.H. Kim, "Finding Industries for Bigdata Usage on the Basis of AHP", Journal of Digital Convergence, Vol. 14. No. 7. pp. 21-27, 2016. DOI: https://doi.org/10.14400/JDC.2016.14.7.21.
  7. S. Lee, and S.Y. Shin, "Design of Health Warning Model on the Basis of CRM by use of Health Big Data", Journal of the Korea Institute of Information and Communication Engineering, Vol. 20. No. 4. pp. 1460-1465, 2016. DOI: https://doi.org/10.6109/jkiice.2016.20.8.1460.
  8. M. Nam, and S. Lee, "Bigdata as a Solution to Shrinking the Shadow Economy", The E-Business Studies, Vol. 17. No. 5. pp. 107-116, 2016. DOI: https://doi.org/10.20462/TeBS.2016.10.17.5.107.
  9. S.H. Kim, S. Chang, and S.W. Lee, "Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data", Journal of Digital Convergence, Vol. 15. No. 6. pp. 133-143, 2017. DOI: https://doi.org/10.14400/JDC.2017.15.6.133.
  10. Y. Kang, S. Kim, J. Kim, and S. Lee, "Examining the Impact of Weather Factors on Yield Industry Vitalization on Bigdata Foundation Technique", Journal of the Korea Entertainment Industry Association, Vol. 11. No. 4. pp. 329-340, 2017. DOI: https://doi.org/10.21184/jkeia.2017.06.11.4.329.
  11. S. Kim, H. Hwang, J. Lee, J. Choi, J. Kang, and S. Lee, "Design of Prevention Method Against Infectious Diseases based on Mobile Bigdata and Rule to Select Subjects Using Artificial Intelligence Concept", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 174-178, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18603.
  12. I. Jung, H. Sun, J. Kang, C.H. Lee, and S. Lee, "Bigdata Analysis Model for MRO Business Using Artificial Intelligence System Concept", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 134-138, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18593.
  13. S. Kim, S. Park, J. Kang, and S. Lee, "The Model of Bigdata Analysis for MICE Using IoT (Beacon) and Artificial Intelligence Service (Recommendation, Interest, and Movement)", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 314-318, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.21192.
  14. S.H. Kim, J.K. Choi, J.S. Kim, A.R. Jang, J.H. Lee, K.J. Cha, and S.W. Lee, "Animal Infectious Diseases Prevention through Bigdata and Deep Learning", Journal of Intelligence and Information Systems, Vol. 24. No. 4. pp. 137-154, 2018. DOI: https://doi.org/10.13088/jiis.2018.24.4.137.
  15. S. Lee, and I. Jung, "Development of a Platform Using Big Data-Based Artificial Intelligence to Predict New Demand of Shipbuilding", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 19. No. 1. pp. 171-178, 2019. DOI: https://doi.org/10.7236/JIIBC.2019.19.1.171.
  16. H. Hwang, S. Lee, S. Kim, and S. Lee, "Building an Analytical Platform of Bigdata for Quality Inspection in the Dairy Industry: A Machine Learning Approach", Journal of Intelligence and Information Systems, Vol. 24. No. 1. pp. 125-140, 2018. DOI: https://doi.org/10.13088/jiis.2018.24.1.125.
  17. Y. Shon, J. Park, J. Kang, and S. Lee, "Design of Link Evaluation Method to Improve Reliability based on Linked Open Bigdata and Natural Language Processing", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 168-173, 2018. DOI: https://doi.org/10.14419/ijet.v7i3.33.18601.
  18. T. Minami and K. Baba, "A Study on Finding Potential Group of Patrons from Library's Loan Records", International Journal of Advanced Smart Convergence, Vol. 2, No. 2, pp. 23-26, 2013. DOI: https://doi.org/10.7236/IJASC2013.2.2.6
  19. S.H. Kim, M.S. Kang, and Y.G. Jung, "Big Data Analysis using Python in Agriculture Forestry and Fisheries", International Journal of Advanced Smart Convergence, Vol. 5. No. 1, pp. 47-50, 2016. DOI: https://doi.org/10.7236/IJASC.2016.5.1.47
  20. W.Y. Kim, "A Practical Study on Data Analysis Framework for Teaching 3D Printing in Elementary School", International Journal of Internet, Broadcasting and Communication, Vol. 8, No. 1, pp. 73-82, 2016. DOI: https://www.earticle.net/Article/A263475 https://doi.org/10.7236/IJIBC.2016.8.1.73
  21. H.C. Kang, K.B. Kang, H.K. Ahn, S.H. Lee, T.H. Ahn, and J.W. Jwa, "The Smart EV Charging System based on the big data analysis of the Power Consumption Patterns", Vol. 9, No. 2, pp. 1-10, 2017. DOI: https://www.earticle.net/Journal/Issues/821/22509
  22. Y.I. Kim, S.S. Yang, S.S. Lee, S.C. Park, "Design and Implementation of Mobile CRM Utilizing Big Data Analysis Techniques", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 14, No. 6, pp. 289-294, 2014. DOI: https://doi.org/10.7236/JIIBC.2014.14.6.289
  23. S.J. Oh, "Design of a Smart Application using Big Data", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 15, No. 6, pp. 17-24, 2015. DOI: https://www.earticle.net/Article/A259710 https://doi.org/10.7236/JIIBC.2015.15.6.17