在這篇論文中，我們在散播數位內容之前，使用個人身份辨識資訊的技術來嵌入使用者的個人身份辨識，也就是俗稱的指紋。那麼數位內容就不再受到像傳統一般的存取控制。而要達到這一點，指紋必須是很難被從數位內容中移除的，以便達到在偵測時可以抓到非法散播的使用者。如果我們想要保護數位內容，我們需要有追蹤和偵測出非法使用者的能力。我們提出的是基於區塊的方法，所以它可以適用於現存的影片格式，像是MPEG 1/2。如果有很多的使用者要使用，由於我們的指紋是基於 BIBD 的設計，所以可以有足夠多的指紋可供使用，原因是在於這些指紋是有相關性而不是各自獨立。從實驗的結果看來我們提出的方法可以對抗蠻多常見的攻擊，在經過這些攻擊後，我們也可以經由偵測的結果去追蹤出來是哪個使用者非法散播數位內容。

In this paper, we use fingerprinting which is a technology for embedding the user’s identity, known as the fingerprint, before the distribution of content. Then the content is no longer protected by the access control. It is necessary that fingerprints are difficult to remove from the content because the evil users want to escape from the detection of fingerprinting. If we want to protect the delivered digital content, we often require the ability to trace and identify entities involved in the illegal redistribution of the content. Our fingerprinting method is block-based so that it can be used in the existing video standards, like MPEG 1/2. If there are many users, the fingerprints designed by BIBD are enough to meet the problem because of their dependence. From the detection results, our method is robust to many attacks in experiments and we can trace the users who distribute their copy illegally.

[1] C. I. Podilchuk and W. Zeng, " Image-adaptive watermarking using visual models," IEEE Journal on Selected Areas in Communications, vol. 16, no. 4, May 1998, pp. 525-539.
[2] I. J. Cox, J. Kilian, F. T. Leighton, and T. Shamoon, “Secure Spread Spectrum Watermarking for Multimedia,” IEEE Trans. Image Processing, Vol. 6, No. 12, pp. 1673-1687, Dec. 1997
[3] R. B. Wolfgang, C. I. Podilchuk, and E. J. Delp, "Perceptual Watermarks for Digital Images and Video," Proceedings of the IEEE, Vol. 87, No. 7, July 1999, pp. 1108-1126.
[4] D. Boneh and J. Shaw, “Collusion-Secure Fingerprinting for Digital Data,” IEEE Trans. On Information Theory, Vol. 44, No. 5, September 1998.
[5] Zheng Liu, Xue Li, Zhaoyang Dong: Direct Fingerprinting on Multicasting Compressed Video. MMM 2005: 76-83.
[6] Josep Domingo-Ferrer, Jordi Herrera-Joancomartí: Simple Collusion-Secure
Fingerprinting Schemes for Images. ITCC 2000: 128-132.
[7] I.J Cox, J. Kilian, T. Leighton, and T. Shamoon, “A secure, robust watermark
for multimedia,” , RJAnderson, Ed. Cambridge, UK: Springer-Verlag, 1996, vol.
1174, Lecture Notes in Computer Science, pp. 183-206.
[8] W. Trappe, M. Wu, Z. Wang, and K.J.R. Liu: "Anti-collusion Fingerprinting for Multimedia", IEEE Trans. on Signal Processing, Special issue on Signal Processing for Data Hiding in Digital Media & Secure Content Delivery, vol. 51, no. 4, pp.1069-1087, April 2003.
[9] M. Wu, W. Trappe, Z. Wang, and K.J.R. Liu: "Collusion Resistant Fingerprinting for Multimedia", IEEE Signal Processing Magazine, Special Issue on Digital Rights Management, pp.15-27, March 2004.
[10] W. Trappe, M. Wu, and K.J.R. Liu: "Collusion-Resistant Fingerprinting for Multimedia," Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'02), vol.4, pp.3309-3312, Orlando, FL, May 2002.
[11] Dittmann, J. “Combining digital watermarks and collusion secure fingerprints for customer copy monitoring”, Secure Images and Image Authentication (Ref. No. 2000/039), IEE Seminar on 10 April 2000 Page(s):6/1 - 6/6
[12] Kundur D, Karthik K. “Video fingerprinting and encryption principles for
digital rights management” [J]. IEEE Multimedia, 2004,92(6):918-932.
[13] Dinitz, Jeffrey H.,/Stinson, D. R./edited by Jeffrey H. Dinitz, Dougla, “Contemporary design theory :a collection of surveys”. A Wiley-Interscience Publication.