Query-preserving watermarking of relational databases and XML documents
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Watermarking relational data: framework, algorithms and analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Publicly verifiable ownership protection for relational databases
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Watermarking relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Reversible and blind database watermarking using difference expansion
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
Intelligent reversible watermarking and authentication: Hiding depth map information for 3D cameras
Information Sciences: an International Journal
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There has been tremendous interest in watermarking multimedia content during the past two decades, mainly for proving ownership and detecting tamper. Digital fingerprinting, that deals with identifying malicious user(s), has also received significant attention. While extensive work has been carried out in watermarking of images, other multimedia objects still have enormous research potential. Watermarking database relations is one of the several areas which demand research focus owing to the commercial implications of database theft. Recently, there has been little progress in database watermarking, with most of the watermarking schemes modeled after the irreversible database watermarking scheme proposed by Agrawal and Kiernan. Reversibility is the ability to re-generate the original (unmarked) relation from the watermarked relation using a secret key. As explained in our paper, reversible watermarking schemes provide greater security against secondary watermarking attacks, where an attacker watermarks an already marked relation in an attempt to erase the original watermark. This paper proposes an improvement over the reversible and blind watermarking scheme presented in [5], identifying and eliminating a critical problem with the previous model. Experiments showing that the average watermark detection rate is around 91% even with attacker distorting half of the attributes. The current scheme provides security against secondary watermarking attacks.