Client-side watermark embedding systems have been proposed as a possible solution for the copyright protection in large-scale content distribution environments. In this framework, we propose a new look-up-table-based secure client-side embedding scheme properly designed for the spread transform dither modulation watermarking method. A theoretical analysis of the detector performance under the most known attack models is presented and the agreement between theoretical and experimental results verified through several simulations. The experimental results also prove that the advantages of the informed embedding technique in comparison to the spread-spectrum watermarking approach, which are well known in the classical embedding schemes, are preserved in the client-side scenario. The proposed approach permits us to successfully combine the security of client-side embedding with the robustness of informed embedding methods.
Secure client-side ST-DM watermark embedding / A., Piva; Bianchi, Tiziano; A., De Rosa. - In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY. - ISSN 1556-6013. - 5:1(2010), pp. 13-26. [10.1109/TIFS.2009.2038761]
Secure client-side ST-DM watermark embedding
BIANCHI, TIZIANO;
2010
Abstract
Client-side watermark embedding systems have been proposed as a possible solution for the copyright protection in large-scale content distribution environments. In this framework, we propose a new look-up-table-based secure client-side embedding scheme properly designed for the spread transform dither modulation watermarking method. A theoretical analysis of the detector performance under the most known attack models is presented and the agreement between theoretical and experimental results verified through several simulations. The experimental results also prove that the advantages of the informed embedding technique in comparison to the spread-spectrum watermarking approach, which are well known in the classical embedding schemes, are preserved in the client-side scenario. The proposed approach permits us to successfully combine the security of client-side embedding with the robustness of informed embedding methods.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2505896
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