Handbook of Applied Cryptography
Handbook of Applied Cryptography
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
Publicly verifiable ownership protection for relational databases
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Higher-Order and Symbolic Computation
Relational Databases Watermark Technique Based on Content Characteristic
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
A Sound Floating-Point Polyhedra Abstract Domain
APLAS '08 Proceedings of the 6th Asian Symposium on Programming Languages and Systems
Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes
A Generic Distortion Free Watermarking Technique for Relational Databases
ICISS '09 Proceedings of the 5th International Conference on Information Systems Security
A fragile watermarking scheme for detecting malicious modifications of database relations
Information Sciences: an International Journal
Abstract interpretation of database query languages
Computer Languages, Systems and Structures
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In this paper, we propose a novel fragile and robust persistent watermarking scheme for relational databases that embeds both private and public watermarks where the former allows the owner to prove his ownership, while the latter allows any end-user to verify the correctness and originality of the data in the database without loss of strength and security. The public watermarking is based on a part of the database state which remains invariant under processing of the queries associated with the database, whereas the private watermarking is based on an appropriate form of the original database state, called abstract database, and the semantics-based properties of the data which remain invariant under processing of the associated queries.