• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Feature Analysis and Detection Techniques for Piracy Sites

Vol. 14, No. 5, May 31, 2020
10.3837/tiis.2020.05.019, Download Paper (Free):

Abstract

In recent years, digital content has become easily accessible because of internet technology. Representative examples of such digital content include various types, such as music, TV, (program, sport, drama etc.) and films. However, there are cases where internet technology is used in illegal ways without the authorization of the copyright holder for digital content. Such actions have a direct impact on copyright owners' profits and further affect the development of the digital culture industry adversely. Therefore, in this study, we analyze features to detect piracy sites that cause copyright infringement. Further, we develop a piracy site detection crawler based on these features and present the analysis of its performance.


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Cite this article

[IEEE Style]
S. Choi and J. Kwak, "Feature Analysis and Detection Techniques for Piracy Sites," KSII Transactions on Internet and Information Systems, vol. 14, no. 5, pp. 2204-2220, 2020. DOI: 10.3837/tiis.2020.05.019.

[ACM Style]
Seul-Ki Choi and Jin Kwak. 2020. Feature Analysis and Detection Techniques for Piracy Sites. KSII Transactions on Internet and Information Systems, 14, 5, (2020), 2204-2220. DOI: 10.3837/tiis.2020.05.019.

[BibTeX Style]
@article{tiis:23565, title="Feature Analysis and Detection Techniques for Piracy Sites", author="Seul-Ki Choi and Jin Kwak and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.05.019}, volume={14}, number={5}, year="2020", month={May}, pages={2204-2220}}