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2024 | OriginalPaper | Buchkapitel

Steganalysis of Reversible Digital Watermarking Algorithm Based on LWT and SVD

verfasst von : Geeta Sharma, Vinay Kumar

Erschienen in: Advances in Data-Driven Computing and Intelligent Systems

Verlag: Springer Nature Singapore

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Abstract

The processes of Digital Rights Management are used to limit access to proprietary and copyrighted material. Original creator of any digital data needs protection against his rights. Digital Rights Management involves two main concepts, watermarking and cryptography. We are working with reversible digital watermarking to keep cover and hidden data safe after extracting hidden message. In this work, digital image data is used as a mask, and using MD5 (Message Digest) algorithm, we have generated a digest of data. The specific digital data ID is created. In an embedding algorithm, this watermark is then integrated with digital data. Here, we worked on a reversible embedding algorithm that enabled us to use the cover even after the secret message had been removed. We have considered the different kinds of digital watermarking and the form of cover data in this report. Due to imperceptibility features, a watermarked data may be transmitted over the open network. It will therefore draw multiple attacks and must be robust. We have used LWT-QR-MD5 techniques that are a lossless approach. The degree of robustness is improved when a consistent procedure is used to build the digest of the watermark. The results are showing a remarkable improvement over LWT.

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Metadaten
Titel
Steganalysis of Reversible Digital Watermarking Algorithm Based on LWT and SVD
verfasst von
Geeta Sharma
Vinay Kumar
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-9521-9_26