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A Viable System for Tracing Illegal Users of Video

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Intelligence and Security Informatics (WISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3917))

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Abstract

Typical uses of watermarks include copyright protection and disabling unauthorized access to content. Especially, copyright protection watermarks embed some information in the data to identify the copyright holder or content provider, while receiver-identifying watermarking, commonly referred to as fingerprinting, embeds information to identify the receiver of that copy of the content. Thus, if an unauthorized copy of the content is recovered, extracting the fingerprint will show who the initial receiver was [1][2]. In this paper we generalize our previous work [3] of a video fingerprinting system to identify the source of illegal copies. This includes a logo embedding technique, generalization of the distribution system and detailed investigation of the robustness against collusion attacks.

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References

  1. Judge, P., Ammar, M.: Security Issues and Solutions in Multicast Content Distribution. IEEE Network 17, 30–36 (2003)

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  4. Kang, H.H., Park, Y.R., Park, J.H.: Blind Watermarking based on the Spatial Domain. Conference on Korea Multimedia Society 5(1) (2002)

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  5. Stone, H.: Analysis of Attacks on Image Watermarks with Randomized Coefficients. NEC Technical Report (1996)

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Author information

Authors and Affiliations

  1. Graduate School of Information Systems, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan

    Hyunho Kang

  2. Dept. of Inf. and Communications Eng., University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan

    Brian Kurkoski, Kazuhiko Yamaguchi & Kingo Kobayashi

  3. Department of Information Security, Pukyong National University, 599-1 Daeyeon-3Dong, Nam-Gu, Busan, 608-737, Republic of Korea

    Youngran Park & Sanguk Shin

Authors
  1. Hyunho Kang
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  2. Brian Kurkoski
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  3. Youngran Park
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  4. Sanguk Shin
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  5. Kazuhiko Yamaguchi
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  6. Kingo Kobayashi
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  2. Chinese Academy of Sciences, 100190, Beijing, China

    Fei-Yue Wang

  3. Drexel University, 19104, Philadelphia, PA, USA

    Christopher C. Yang

  4. MIS Department, University of Arizona, and Chinese Academy of Sciences, Tucson, AZ, USA

    Daniel Zeng

  5. The University of Hong Kong, Hong Kong, China

    Michael Chau

  6. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Kuiyu Chang

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© 2006 Springer-Verlag Berlin Heidelberg

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Kang, H., Kurkoski, B., Park, Y., Shin, S., Yamaguchi, K., Kobayashi, K. (2006). A Viable System for Tracing Illegal Users of Video. In: Chen, H., Wang, FY., Yang, C.C., Zeng, D., Chau, M., Chang, K. (eds) Intelligence and Security Informatics. WISI 2006. Lecture Notes in Computer Science, vol 3917. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11734628_20

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  • DOI: https://doi.org/10.1007/11734628_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33361-6

  • Online ISBN: 978-3-540-33362-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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