Watermarking of uncompressed and compressed video
Signal Processing
A functional taxonomy for software watermarking
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Query-preserving watermarking of relational databases and XML documents
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Power: A Metric for Evaluating Watermarking Algorithms
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
A Text Watermarking Algorithm based on Word Classification and Inter-word Space Statistics
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Watermarking relational data: framework, algorithms and analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Dynamic path-based software watermarking
Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation
A New Watermark Mechanism for Relational Data
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Rights Protection for Relational Data
IEEE Transactions on Knowledge and Data Engineering
Rights assessment for discrete digital data
Rights assessment for discrete digital data
Digital Watermarks for Audio Signals
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Digital watermarking for relational databases using traceability parameter
International Journal of Computer Applications in Technology
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Watermarking relational data is to protect the intellectual property of sensitive and valuable relational data that is outsourced for sale. Based on analysis of the characteristics of relational data and the corresponding watermarking techniques, the relational data watermarking problem is formalized, and a generalized and adaptive relational data watermarking framework (GARWM) is proposed. The GARWM framework exploits the properties of relational data in the semantics of watermarking, such as preservation of logical relationship in usability preserving attack, discrimination in significance of attributes, and local constraints/global metrics, to strengthen existing methods. The insertion/detection algorithms are presented to insert/detect watermarks into/from non-numeric attributes besides numeric attributes. We identify and classify potential threats to the watermark of relational data including simple attacks, detection-disabling attacks, and ambiguity attacks. We show that GARWM is resilient to these threats, and experiment results quantitatively demonstrate the robustness of our techniques.