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Research on Methods of Feature Information Gathering for Identifying Illegal Copyright Infringement Sites

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2023, 19(3), pp.1-10
  • DOI : 10.29056/jsav.2023.09.01
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : August 28, 2023
  • Accepted : September 20, 2023
  • Published : September 30, 2023

Eun-Seok Choi 1 Youngmo Kim 2 Myung-Chan Park 1

1에이치엠컴퍼니㈜
2숭실대학교

Accredited

ABSTRACT

Recently, illegal copyright infringement websites have been utilizing cloud services such as Cloudflare, which makes investigation and enforcement challenging. They evade domain blocking by regularly changing domains. Existing domain blocking technologies follow the same process even when a modified illegal site is discovered and these illegal sites bypass blocking by reducing the domain change interval. In this paper, we propose an approach to define and collect feature information about target sites, such as site logos, menus, categories, content, and advertisement banners, based on publicly available information within the sites that can be utilized to identify target sites engaged in illegal activities. Through experiments, it was found that the feature information values of sites before and after domain change were the same. Accordingly, it is expected to contribute to establishing a system that can take immediate action by reducing the unnecessary verification and screening period in blocking illegal copyright infringement sites.

Citation status

* References for papers published after 2023 are currently being built.