The Korea Software Assessment and Valuation Society is an academic institution that promotes the academic development and friendship of its members by developing and sharing software evaluation techniques applicable to copyright protection. Members respect the value of research by complying with research ethics in academic research and presentation, and contribute to the academic advancement of software evaluation techniques for copyright protection and plagiarism prevention for software developers. Research results on technologies that identify copyright infringement, such as software appraisal techniques and plagiarism, are selected through rigorous screening, and strict ethical regulations are followed to achieve the purpose of the association.
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.
As the creation of various types of copyrighted works increases, the license for the use and utilization of original works is increasing accordingly. Since the license contract is not a general contract used by the general public, but applies to specific technologies, it is limited to only those who need a license, so contracts are not generally concluded. Currently, there are several license models, but in order to use licenses owned by individual platforms, contract provisions are unified, and there are limitations in contract technology for managing and restricting users. In the case of existing copyright contracts, the terms of the contents of the contract are extensive, so it is necessary to develop a license contract template that enables the use of copyrighted works under specific conditions to be reviewed by interested parties.
Therefore, this paper suggests a license contract model for each condition of use that can reduce the burden of reviewing the license contract and easily obtain license under specific conditions.
In quantitative similarity process, the role of the engineer and the role of the judge overlap partly. In the past, there was a problem that this overlapping area remained blank in which no one was involved.
However, many practical and theoretical studies on copyright infringement litigation are being conducted.
Therefore, in recent years, the gap as in the past has been decreasing. In litigation practice, the use of quantitative similarity to determine practical similarity, recognition of its limitations, and the way the filtration process works to specify expressions protected by copyright law are treated very importantly.
The Supreme Court recently responded to these matters through the Supreme Court Judgment 2021Da246804 Sentenced December 1, 2022. The judgment approached the overall process of judging copyright infringement faithfully, but there was some carelessness found. So, this point was examined in this paper.