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http://dx.doi.org/10.14400/JDC.2022.20.5.609

Design and analysis of monitoring system for illegal overseas direct purchase based on C2C  

Shin, Yong-Hun (Dept. of Computer Engineering, Han-bat National University)
Kim, Jeong-Ho (Dept. of Computer Engineering, Han-bat National University)
Publication Information
Journal of Digital Convergence / v.20, no.5, 2022 , pp. 609-615 More about this Journal
Abstract
In this paper, we propose a monitoring system for illegal overseas direct purchase based on C2C transaction between individuals. The Customs Act stipulates that direct purchases from overseas are exempted from taxation only if they are less than a certain amount (US$150, but US$200 in the US) or are recognized as self-used goods. The act of reselling overseas direct purchase items purchased with exemption from taxation online, etc., is a crime of smuggling without a report. Nevertheless, the number of re-sells on online second-hand websites is increasing, and it is becoming a controversial social issue of continuous violation of the Customs Act. Therefore, this study collects unspecified transaction details related to overseas direct purchase, refines the data in a big data method, and designs it as a monitoring system through natural language processing, etc. analyzed. It will be possible to use it to crack down on illegal transactions of overseas direct purchase goods.
Keywords
Big Data; Convergence; Overseas direct Purchase; Data analyze; Data mining; Crawling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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