Reversible and blind database watermarking using difference expansion

Gupta, Gaurav & Pieprzyk, Josef (2008) Reversible and blind database watermarking using difference expansion. In Sorell, Matthew (Ed.) Proceedings of the 1st International Conference on Forensic Applications and Techniques in Telecommunications, Information, and Multimedia and Workshop (e-Forensics '08), ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Adelaide, Australia, pp. 1-6.

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Database watermarking has received significant research attention in the current decade. Although, almost all watermarking models have been either irreversible (the original relation cannot be restored from the watermarked relation) and/or non-blind (requiring original relation to detect the watermark in watermarked relation). This model has several disadvantages over reversible and blind watermarking (requiring only watermarked relation and secret key from which the watermark is detected and original relation is restored) including inability to identify rightful owner in case of successful secondary watermarking, inability to revert the relation to original data set (required in high precision industries) and requirement to store unmarked relation at a secure secondary storage. To overcome these problems, we propose a watermarking scheme that is reversible as well as blind. We utilize difference expansion on integers to achieve reversibility. The major advantages provided by our scheme are reversibility to high quality original data set, rightful owner identification, resistance against secondary watermarking attacks, and no need to store original database at a secure secondary storage.

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ID Code: 70347
Item Type: Conference Paper
Refereed: Yes
Keywords: Database, Watermarking, Reversible, Copyright
ISBN: 9789639799196
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2008 ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Deposited On: 23 Apr 2014 04:14
Last Modified: 24 Jun 2017 14:37

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