Asymmetric fingerprinting for larger collusions
Proceedings of the 4th ACM conference on Computer and communications security
Error- and Collusion-Secure Fingerprinting for Digital Data
IH '99 Proceedings of the Third International Workshop on Information Hiding
Query-preserving watermarking of relational databases and XML documents
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Hiding Functions and Computational Security of Image Watermarking Systems
CSFW '02 Proceedings of the 15th IEEE workshop on Computer Security Foundations
Rights protection for relational data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Watermarking relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Tamper detection and localization for categorical data using fragile watermarks
Proceedings of the 4th ACM workshop on Digital rights management
Privacy and Ownership Preserving of Outsourced Medical Data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Fingerprinting Relational Databases: Schemes and Specialties
IEEE Transactions on Dependable and Secure Computing
Watermill: an optimized fingerprinting system for highly constrained data
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
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
An additive-attack-proof watermarking mechanism for databases' copyrights protection using image
Proceedings of the 2007 ACM symposium on Applied computing
Digital watermarking for relational databases using traceability parameter
International Journal of Computer Applications in Technology
A fragile watermarking scheme for detecting malicious modifications of database relations
Information Sciences: an International Journal
A blind reversible method for watermarking relational databases based on a time-stamping protocol
Expert Systems with Applications: An International Journal
Effective approaches for watermarking XML data
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
A block oriented fingerprinting scheme in relational database
ICISC'04 Proceedings of the 7th international conference on Information Security and Cryptology
A new scheme to fingerprint XML data
KDXD'06 Proceedings of the First international conference on Knowledge Discovery from XML Documents
Subset selection approach for watermarking relational databases
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
| Hi-index | 0.00 |
Agrawal and Kiernan's watermarking technique for database relations [1] and Li et al's fingerprinting extension [6] both depend critically on primary key attributes. Hence, those techniques cannot embed marks in database relations without primary key attributes. Further, the techniques are vulnerable to simple attacks that alter or delete the primary key attribute.This paper proposes a new fingerprinting scheme that does not depend on a primary key attribute. The scheme constructs virtual primary keys from the most significant bits of some of each tuple's attributes. The actual attributes that are used to construct then virtual primary key differ from tuple to tuple. Attribute selection is based on a secret key that is known to the merchant only. Further, the selection does not depend on an apriori ordering over the attributes, or on knowledge of the original relation or fingerprint codeword.The virtual primary keys are then used in fingerprinting as in previous work [6]. Rigorous analysis shows that, with high probability, only embedded fingerprints can be detected and embedded fingerprints cannot be modified or erased by a variety of attacks. Attacks include adding, deleting, shuffling, or modifying tuples or attributes (including a primary key attribute if one exists), guessing secret keys, and colluding with other recipients of a relation.