Abstract
A secure media distribution scheme is proposed in this paper, which distributes different copy of media content to different customer in a secure manner. At the sender side, media content is encrypted with a chaotic neural network based cipher under the control of a secret key. At the receiver side, the encrypted media content is decrypted with the same cipher under the control of both a secret key and the customer information. Thus, the decrypted media copy containing customer information is slightly different from the original one. The difference can be detected and used to trace media content’s illegal distribution. The scheme’s performances, including security, imperceptibility and robustness, are analyzed and tested. It is shown that the scheme is suitable for secure media distribution.
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Lian, S., Liu, Z., Ren, Z., Wang, H. (2007). Secure Media Distribution Scheme Based on Chaotic Neural Network. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_11
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DOI: https://doi.org/10.1007/978-3-540-72393-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72392-9
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