Secure Media Distribution Scheme Based on Chaotic Neural Network

Authors:
Shiguo Lian;Zhongxuan Liu;Zhen Ren;Haila Wang
Affiliations:
France Telecom R&D Beijing, Beijing 100080, China;France Telecom R&D Beijing, Beijing 100080, China;France Telecom R&D Beijing, Beijing 100080, China;France Telecom R&D Beijing, Beijing 100080, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Year:
2007

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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.