文章基本信息

标题：A Study on the Analysis of De-Identification of Website of Domestic Education Institutions and Government Organizations
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作者：Eunsook Mun ; Eunmi Jung ; Hyenki Kim 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：8
页码：69-76
DOI：10.14257/ijseia.2016.10.8.06
出版社：SERSC
摘要：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.
关键词：Big Data; De-identification; Personal information protection