Earticle

초록

영어

Due to the recent development of smart phone, SNS has been rapidly increasing causing the amount of data from IOT explosively to be grown. Hereupon, personal information leakage has become a serious issue, and de-identification has been applied according to personal information protection guideline. However, most of the files attached on the board have not been de-identified. It is not possible to predict how data of a certain person are to be used at where. In addition, the process is much complicated and frequent that it is still not possible to prove the usage of personal information from the result of analysis even if data of a certain person are used. Hereupon, there has been an increasing fear on information holders due to the possibility of information leakage. In order to identify the risk of sensitive personal information leakage, this paper is intended to collect data from websites of domestic education institutions and government organizations, analyze how much de-identification plans for guaranteeing safety of individuals is correctly applied, and reveal the risk from sensitive personal information leakage.

목차

Abstract
 1. Introduction
 2. Related Research
  2.1. Big Data
  2.2. De-Identification
 3. Experiment and Consideration
 4. Conclusion and Follow-up Study
 Acknowledgments
 References

키워드

저자

• Eunsook Mun [ Dept. of Multimedia Engineering, Andong National University ]
• Eunmi Jung [ Dept. of Multimedia Engineering, Andong National University ]
• Hyenki Kim [ Dept. of Multimedia Engineering, Andong National University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605