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http://dx.doi.org/10.3837/tiis.2022.07.018

Improved Piracy Site Detection Technique using Search Engine  

Kim, Eui-Jin (ISAA Lab., Department of Cyber Security Ajou University)
Kim, Deuk-Hun (ISAA Lab., Institue for Information and Communication Ajou University)
Kwak, Jin (Department of Cyber Security Ajou University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.16, no.7, 2022 , pp. 2459-2472 More about this Journal
Abstract
With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.
Keywords
Copyright Detection; Search Engine; Piracy Site; Copyright Infringement;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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