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International Journal of Reliable Information and Assurance

Volume 7, No. 1, 2019, pp 1-6


Using Data Visualization Techniques to Detect Personal-Information Leakage of Log Datasets

    Soon Chan Choi1, Hyeon Cheol Kim2, Jae Soo Kim3
    12R&D Division SAMOCNS Co. Ltd.
    Dept. of Computer Science & Engineering, SeoulTech
    12scchoi, leo@samocns.kr3 jskim@seoultech.ac.kr


    Today, the development of the Internet has greatly influenced the sharing and utilization of information, but there are also negative adverse effects, one of which is that the leakage of personal information contributes to the maximum damage to users. Accordingly, this study aims to present visualisations through big data analysis to improve the effectiveness of detecting personal information as a way to prevent the leakage of personal information that is becoming more damaging.


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