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http://dx.doi.org/10.13089/JKIISC.2020.30.6.1067

High-Speed Search for Pirated Content and Research on Heavy Uploader Profiling Analysis Technology  

Hwang, Chan-Woong (Hoseo University)
Kim, Jin-Gang (Hoseo University)
Lee, Yong-Soo (Hoseo University)
Kim, Hyeong-Rae (Hoseo University)
Lee, Tae-Jin (Hoseo University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.30, no.6, 2020 , pp. 1067-1078 More about this Journal
Abstract
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.
Keywords
Copyright protection technology; Pirated contents search; heavy uploader profiling;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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1 Jung-Wook Cho, "OSP's Obligation to Adopt Technical Measures to Curtail Copyright Infringements", Journal of Korea Infomation Law, 12(2), pp.63-94, Dec. 2008.
2 Yeong-Woo Oh, Gye-Hyun Jang, Hun-Yeong Kwon, Jong-In Lim, "A Study on the Copyright Protection Liability of Online Service Provider and Filtering Measure", Journal of the Korea Institute of Information Security and Cryptology, 20(6), pp.97-109, Dec. 2010.
3 "2020 Annual Report on Copyright Protection," Korea Copyright Protection Agency, pp. 1-168, April. 2020.
4 "Status of special types of value-added telecommunications providers," Ministry of Science and ICT(MSIT), Korea, Dec. 2019.
5 Tae-Jung Kim, Jae-Ho Hwang, and Choong-Seong Hong, "A Wavelet Based Robust Logo Watermarking Algorithm for Digital Content Protection," Joural of Internet Computing and Services, 9(1), pp. 33-42, Feb. 2008.
6 Jeon Seong-Tae, Jeon Soo-Jung, "A Study on the Legal Problems of DRM on the Use of copyright", Korea Copyright Commission, 75(19), pp.66-87, Oct. 2006.
7 Jung-Sik Hwang and Hyun-Gon Kim, "Blockchain-based Copyright Management System Capable of Registering Creative Ideas," Journal of Internet Computing and Services, 20(5), pp. 57-65, Oct. 2019.
8 "A Study on the Copyright New Service Model Using Blockchain Technology", Korea Copyright Commission, pp.1-174, Jan. 2018.
9 Hwang Jung-Sik, Kim Hyun-Gon, "Blockchain-based Copyright Management System Capable of Registering Creative Ideas", The Korea Society of Science & Art, (35), pp.341-351, Oct. 2019.
10 Ju-Seop Kim, Je-Ho Nam, "Analysis of illegal content filtering technology trends", Broadcasting and Media Magazine, 12(4), pp.53-63, 2007.
11 C. Li, J. Lu and Y. Lu, "Efficient Merging and Filtering Algorithms for Approximate String Searches," 2008 IEEE 24th International Conference on Data Engineering, pp.257-266, April. 2008.
12 Jong-An Kim, Jong-Heum Kim, Jin-han Kim and Yong-min Chin, "Development of the filtering technology of illegal IPTV contents," Korea Institute of Information & Telecommunication Facilities Engineering, pp. 108-111, Aug. 2009.
13 Hyeon-Gu Son, Ki-su Kim and Young-seok Lee, "A File Name Identification Method for P2P and Web Hard Applications through Traffic Monitoring" Journal of KIISE, 37(6), pp. 477-482, Dec. 2010.
14 Bong-Gi Kim, Hae-Seok Oh, "A Feature-Based Retrieval Technique for Image Database", The transactions of the Korea Information Processing Society, 5(11), pp.2776-2785, Nov. 1998.
15 Broder, Andrei, and Michael Mitzenmacher. "Network applications of bloom filters: A survey." Internet mathematics, 1(4), pp. 485-509, Jan. 2011.   DOI
16 Hee-Wan Park, "Design and Implementation of Server-based Resource Obfuscation Techniques for Preventing Copyrights Infringement to Android Contents," Journal of the Korea Contents Society, 16(5), pp. 13-20, May. 2016.   DOI
17 Chan-Woong Hwang, Ji-Hee Ha and Tae-Jin Lee, "Modified File Title Normalization Techniques for Copyright Protection," Convergence Security Journal, 19(4), pp. 133-142, Oct. 2019.
18 Almeida, Paulo Sergio, et al. "Scalable bloom filters." Information Processing Letters, 101(6), pp.255-261, March. 2007.   DOI