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http://dx.doi.org/10.6109/jkiice.2018.22.1.69

Web Document Analysis based Personal Information Hazard Classification System  

Lee, Hyoungseon (Department of Computer Engineering, Paichai University)
Lim, Jaedon (Department of Computer Engineering, Paichai University)
Jung, Hoekyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.1, 2018 , pp. 69-74 More about this Journal
Abstract
Recently, personal information leakage has caused phishing and spam. Previously developed systems focus on preventing personal information leakage. Therefore, there is a problem that the leakage of personal information can not be discriminated if there is already leaked personal information. In this paper, we propose a personal information hazard classification system based on web document analysis that calculates the hazard. The system collects web documents from the Twitter server and checks whether there are any user-entered search terms in the web documents. And we calculate the hazard classification weighting of the personal information leaked in the web documents and confirm the authority of the Twitter account that distributed the personal information. Based on this, the hazard can be derived and the user can be informed of the leakage of personal information of the web document.
Keywords
Collection; Leak Detection; Personal Information; Web Document;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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