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http://dx.doi.org/10.13089/JKIISC.2020.30.2.305

Privacy Policy Analysis Techniques Using Deep Learning  

Jo, Yong-Hyun (Korea University)
Cha, Young-Kyun (Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.30, no.2, 2020 , pp. 305-312 More about this Journal
Abstract
The Privacy Act stipulates that the privacy policy document, which is a privacy statement, should be disclosed in order to guarantee the rights of the information subjects, and the Fair Trade Commission considers the privacy policy as a condition and conducts an unfair review of the terms and conditions under the Terms and Conditions Control Act. However, the information subjects tend not to read personal information because it is complicated and difficult to understand. Simple and legible information processing policies will increase the probability of participating in online transactions, contributing to the increase in corporate sales and resolving the problem of information asymmetry between operators and information entities. In this study, complex personal information processing policies are analyzed using deep learning, and models are presented for acquiring simplified personal information processing policies that are highly readable by the information subjects. To present the model, the personal information processing policies of 258 domestic companies were established as data sets and analyzed using deep learning technology.
Keywords
Privacy Policy; Text Mining; Decision Tree Model; Privacy Protect; Subject Right;
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Times Cited By KSCI : 2  (Citation Analysis)
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