Query-preserving watermarking of relational databases and XML documents
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Protecting publicly-available images with an invisible image watermark
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Watermarking relational data: framework, algorithms and analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Tamper detection and localization for categorical data using fragile watermarks
Proceedings of the 4th ACM workshop on Digital rights management
Rights Protection for Relational Data
IEEE Transactions on Knowledge and Data Engineering
A Reversible Data Hiding Scheme with Modified Side Match Vector Quantization
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Publicly verifiable ownership protection for relational databases
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Fingerprinting relational databases
Proceedings of the 2006 ACM symposium on Applied computing
Watermarking relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
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
Database Relation Watermarking Resilient against Secondary Watermarking Attacks
ICISS '09 Proceedings of the 5th International Conference on Information Systems Security
A blind reversible method for watermarking relational databases based on a time-stamping protocol
Expert Systems with Applications: An International Journal
Genetic algorithm and difference expansion based reversible watermarking for relational databases
Journal of Systems and Software
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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.