A Novel Lossless Data Hiding Scheme in Homomorphically Encrypted Images
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In this paper, we have presented a novel lossless data hiding scheme in a homomorphically encrypted image. After applying the homomorphic encryption function to the original image by the content owner, the data hider can embed the additional data in a lossless manner, without revealing the original content of the image. Meanwhile, the data hider chooses a threshold value and generates a location map accordingly. This location map is considered as an auxiliary information. The receiver can recover the additional data using the shared auxiliary information in a separable manner. And the original image is recovered losslessly, without any post-processing, by the homomorphic decryption function. In our proposed scheme, no distortion is introduced in the data hiding phase, as a result the directly decrypted image is the same as the original image. The experimental results show that, the scheme has better performance than some of the state-of-the-art methods with high embedding rate and distortionless directly decrypted image.
KeywordsLossless data hiding Reversible Data Hiding Homomorphic cryptography Cloud computing High capacity
This work is supported in part by the National Natural Science Foundation of China (NSFC) under grant No. 61972269, and the Fundamental Research Funds for the Central Universities under the grant No. YJ201881.
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