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The integration of data sensing, communication, and computing (SCC) is a requirement for the IoT to provide a high quality of service. However, there are still data security issues in SCC integration, where data are vulnerable to leakage during sensing, communication, and computing, and the leaked data are difficult to be copyrighted and traced to the source of leakage. In this study, we consider the copyright protection problem in multimedia data transmission and propose a robust reversible watermarking algorithm based on multilayer embedding in the compression domain. In the first stage, the robust watermark is embedded into the mid-frequency coefficients, and then, the auxiliary information to revert the robust embedding is embedded into the high-frequency coefficients. To improve robustness and reduce embedding distortion, we propose a coefficient selection method, by which the watermark and the recovery information are embedded in different DCT-quantized coefficients according to the texture complexity. Experiment results indicate that the proposed method performs better than some state-of-the-art RRW methods.

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