• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.212-224
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• 2009

Proliferation of high performance internet infrastructures finally allows their users download a single copy of regular movie just within in a couple of seconds. Ease of accesses to the software for downloading consequently leads them insensitive to the ethics or legitimacy of their conduct. Thus, strong legal action is enforced for piracy over nationally through strengthen the copyright law. We in this paper conducted a survey to see whether netizens prefer to download just for the matter of their convenience. Whilst the level of awareness is addressed even in a far-fetched manner in the area of music piracy and computer software piracy, the case of movie is much different in that we even fail to find any survey that has been made for movie piracy. The survey has been made by devising questionnaires for netizens and it was posted web WorldSurvey, which is the most prominent online survey site in Korea. To our surprise, 9 out of 10 respondents expressed they actually resort to illegal downloading for the reason of convenience. We realized one more surprise. More than 95% of netizens conspicuously aware of their downloading behaviors are mischievous and illegal without reservation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1067-1078
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• 2020

With the development of internet technology, a lot of content is produced, and the demand for it is increasing. Accordingly, the number of contents in circulation is increasing, while the number of distributing illegal copies that infringe on copyright is also increasing. The Korea Copyright Protection Agency operates a illegal content obstruction program based on substring matching, and it is difficult to accurately search because a large number of noises are inserted to bypass this. Recently, researches using natural language processing and AI deep learning technologies to remove noise and various blockchain technologies for copyright protection are being studied, but there are limitations. In this paper, noise is removed from data collected online, and keyword-based illegal copies are searched. In addition, the same heavy uploader is estimated through profiling analysis for heavy uploaders. In the future, it is expected that copyright damage will be minimized if the illegal copy search technology and blocking and response technology are combined based on the results of profiling analysis for heavy uploaders.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.45-57
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• 2003

In recent years, the number of digital content transaction has increased dramatically, in main, owing to the innovation of IT technology. At the same time, it creates new problems which have never been found in traditional transactions. Especially, due to the easy-copy characteristics of digital content, the illegal usage of digital content proliferates. Also the conflicts between seller an d buyer in digital content transactions on cyberspace market take place frequently because contracts were made without face-to-face discussion. The increase of illegal usage and conflict in digital content market would diminish motivation of creators for their work, furthermore break down digital content market on cyberspace. Digital content transaction authentication system would play an important role in creating sound digital content market. Especially, it would make big contribution to reducing the number of conflict between seller and buyer. In this context, the main objective of this study is to suggest operational model of digital content transaction authentication and to explain critical success factors in organizing digital content transaction authentication system.

• The KIPS Transactions:PartC
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• v.13C no.1 s.104
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• pp.35-44
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• 2006

Current technologies on digital rights management (DRM) have focused on security and encryption as a means of solving the issue of unauthorized copying, that is, locking the content and limiting its distribution to only purchasers. But, illegal content copy should be protected not only from purchasers but also from other principals such as media distributors and content providers. In this paper, we designed and implemented end-to-end digital lights management system that can cover a content protection on the overall value-chains of content distribution. Proposed system provides content protection and secure management of digital rights in creator, provider, and distributor like in purchaser. Accordingly it can provide an environment protecting each principal's digital rights and prohibiting illegal usage of content.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.781-784
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• 2009

IPTV, which is convergence of Communication and Broadcasting, has improved quickly recently. This service can provide high quality and various services to their customers, such as choosing channels freely, VOD and many kinds of Interactive service. As the technology of IPTV rapid development, more and more people worry about its disadvantages during the spread and apply, for instance, the illegal application, illegal copy, access authority abuse and the danger of the IPTV contents. This paper will provide the solution to solve these problems, through the Public Key Certificate of PKI(Public Key Infrastructure) and the Attribute Certificate of PMI(Privilege Management Infrastructure).

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.11 no.2
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• pp.49-64
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• 2000

디지털기술의 급속한 발전으로 인해 현재 대부분의 문서가 디지털화된 형태를 이루고 있으며 이러한 정보는 지속적으로 증가하고 있는 상황이다. 웹 및 문서저작도구의 발전과 함께, 정보의 생성과 공유가 쉬워지면서 중복적으로 존재하는 정보의 비율이 갈수록 높아지고 있으며 일부를 표절하여 자신의 정보로 사용하는 문서의 불법적인 복제문제가 발생할 수 있다. 현재 온라인 상에서 제공되고 있는 수많은 정보는 그것을 접하는 사용자들에게 유용하게 사용될 수도 있지만 불법복제 (illegal copy)나 표절(plagiarism)과 같은 형태로 이용될 수 있는 가능성도 높다. 두 경우에 있어서 원문의 부분 또는 전체를 그대로 사용하는 경우가 있으며, 특히, 표절의 경우에 있어서는 문장의 재구성, 유사단어로 대체하는 것처럼 원문과는 다른 형태로 나타날 수 있다. 그러나 표절에 있어서 엄청난 양의 정보중에서 일부를 표절한 사실을 알아내기란 쉽지가 않다 왜냐하면 표절을 판별하기 위해서는 기존에 존재하는 모든 정보를 알고 있어야 하는데 이것은 이론상으로 사람의 힘으로는 불가능하기 때문이다. 또한 저작자의 동의 없이 이루어지는 불법적인 복제는 디지털콘텐츠의 유통을 위한 커다란 걸림돌이 되고 있다. 따라서 기존의 문서와의 유사성 판별을 통해서 자동적으로 표절의 가능성을 제시해 줄 수 있는 기술과 함께 근본적으로 디지털 저작물에 대한 불법적인 복제를 막을 수 있는 방법이 필요하다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.19-25
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• 2016

This study aims to develop sound ecosystem of scanned cartoons and books through the effective identification technology developed as a part of the project granted from the Korea Copyright Commission (Project title: Identification and Copy Protection Technology of Scanned Text/Comic Books). This study shows a model integrating the scanned book identification system with the existing system that identifies scanned cartoons. The model suggested in this study is expected to give a help in reducing the author's damages due to the indiscriminate illegal reproduction, which tends to expand with high quality scanners and editing softwares.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.3
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• pp.387-400
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• 2021

The increase in number of streaming platforms and contents thereof, owing to an advancement of cloud environment, has triggered the rapid proliferation of illegally replicated contents as well as legal contents. This necessitates the development of technology capable of discriminating the copyright infringement of various contents. The Korea Copyright Protection Agency operates a video content demonstration system using AI, but it has limitations on distortions such as resolution changes. In this paper, we propose the powerful mechanism using skeleton, which is resistant against distorted video contents and capable of discriminating copyright infringement of platforms streaming illegal video contents. The proposed mechanism exploits the calculation of Hamming distance to the original video by converting collected data into binary ones for the efficient calculation. As a result of the experiment, the proposed mechanism have demonstrated the discrimination of illegally replicated video contents with an accuracy of 94.79% and average magnitude of 215KB.

• Journal of Broadcast Engineering
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• v.13 no.5
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• pp.662-676
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• 2008

This paper presents a video copy detection algorithm that blocks online transfer of illegally copied DTV broadcast programs. Particularly, the proposed algorithm establishes a set of keyframes by detecting abrupt changes of luminance, and then exploits the spatio-temporal features of keyframes. Comparing with the preregistered features stored in the database of DTV broadcast programs, the proposed scheme performs a function of video filtering in order to distinguish whether an uploaded video is illegally copied or not. Note that we analyze only a set of keyframes instead of an entire video frame. Thus, it is highly efficient to identify illegal copied video when we deal with a vast size of broadcast programs. Also, we confirm that the proposed technique is robust to a variety of video edit-effects that are often applied by online video redistribution, such as apsect-ratio change, logo insertion, caption insertion, visual quality degradation, and resolution change (downscaling). In addition, we perform a benchmark test in which the proposed scheme outperforms previous techniques.

• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.315-322
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• 2008

Searching a location of the copied video in video database, signatures should be robust to video reediting, channel noise, time variation of frame rate. Several kinds of signatures has been proposed. Ordinal signature, one of them, is difficult to describe the spatial characteristics of frame due to the site of fixed window, $N{\times}N$, which is compute the average gray value. In this paper, I studied an algorithm of sequence matching in video copy detection for the copyright protection, employing the R-tree index method for retrieval and suggesting a robust ordinal signatures for the original video clips and the same signatures of the pirated video. Robust ordinal has a 2-dimensional vector structures that has a strong to the noise and the variation of the frame rate. Also, it express as MBR form in search space of R-tree. Moreover, I focus on building a video copy detection method into which content publishers register their valuable digital content. The video copy detection algorithms compares the web content to the registered content and notifies the content owners of illegal copies. Experimental results show the proposed method is improve the video matching rate and it has a characteristics of signature suitable to the large video databases.