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An Image Copyright Authentication Model Based on Blockchain and Digital Watermark

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Artificial Intelligence Security and Privacy (AIS&P 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14510))

Abstract

To solve the problems of digital image leakage and tampering as well as the low imperceptibility of watermarking algorithms in the traditional digital image copyright authentication process, we propose a model that combines digital watermarking, blockchain, and the InterPlanetary File System (IPFS). This model builds an IPFS and blockchain-distributed storage architecture and combines encryption technology to prevent digital images from being leaked and tampered with. Using the immutability of IPFS, we design a watermarking algorithm with high imperceptibility. Our experiments show that the proposed digital image copyright authentication model can effectively prevent digital images from being leaked and tampered with; the mean values of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the proposed watermarking algorithm are 65.607(dB) and 0.999, respectively.

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Acknowledgements

The authors wish to thank the National Natural Science Foundation of China under Grant 61763011 and the Science and Technology Project of the Educational Department of Jiangxi Province under Grant GJJ00638 and thank the authors of the literature that we use in this article.

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Correspondence to Yi Wu .

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Huang, X., Wu, Y. (2024). An Image Copyright Authentication Model Based on Blockchain and Digital Watermark. In: Vaidya, J., Gabbouj, M., Li, J. (eds) Artificial Intelligence Security and Privacy. AIS&P 2023. Lecture Notes in Computer Science, vol 14510. Springer, Singapore. https://doi.org/10.1007/978-981-99-9788-6_23

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  • DOI: https://doi.org/10.1007/978-981-99-9788-6_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9787-9

  • Online ISBN: 978-981-99-9788-6

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