Abstract
In this paper we introduce a distortion free watermarking technique for relational databases based on the Abstract Interpretation framework. The watermarking technique is partition based. The partitioning can be seen as a virtual grouping, which does not change neither the value of the table’s elements nor their physical positions. Instead of inserting the watermark directly to the database partition, we treat it as an abstract representation of that concrete partition, such that any change in the concrete domain reflects in its abstract counterpart. The main idea is to generate a binary image of the partition as a watermark of that partition, that serves as ownership proof as well as tamper detection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Agrawal, R., Kiernan, J.: Watermarking relational databases. In: 28th Int. Conference on Very Large Databases, Hong Kong, pp. 155–166 (2002)
Al-Haj, A., Odeh, A.: Robust and blind watermarking of relational database systems. Journal of Computer Science 4(12), 1024–1029 (2008)
Bhattacharya, S., Cortesi, A.: A distortion free watermarking framework for relational databases. In: Proc. 4th International Conference on Software and Data technology, ICSOFT 2009, Sofia, Bulgaria, pp. 229–234 (2009)
Collberg, C., Thomborson, C.: Watermarking, tamper-proofing, and obfuscation - tools for software protection. IEEE Trans. Software Eng. 28, 735–746 (2000)
Cousot, P.: Abstract interpretation based formal methods and future challenges. In: Wilhelm, R. (ed.) Informatics: 10 Years Back, 10 Years Ahead. LNCS, vol. 2000, pp. 138–156. Springer, Heidelberg (2001)
Cousot, P., Cousot, R.: Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints. In: POPL 1977: Proceedings of the 4th ACM SIGACT-SIGPLAN symposium on Principles of programming languages, pp. 238–252. ACM Press, New York (1977)
Cousot, P., Cousot, R.: Abstract interpretation frameworks. Journal of Logic and Computation 2, 511–547 (1992)
Cox, I.: Digital Watermarking: Principles and Practice. Morgan Kaufman Publ. Inc., San Francisco (2001)
Gross-Amblard, D.: Query-preserving watermarking of relational databases and xml documents. In: Proc. of the Twenty-Second ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, San Diego, CA, USA, June 9-12, pp. 191–201 (2003)
de Haan, L., Koppelaars, T.: Applied Mathematics for Database Professionals. Apress, Berkely (2007)
Sushil, Z.J., Duric, J.N.F.: Information hiding: steganography and watermarking. In: Attacks and countermeasures. Kluwer Academic Publishers, Dordrecht (2000)
Mineta, N.Y., Shavers, C.L., Kammer, R.G., Mehuron, W.: The keyed-hash message authentication code (HMAC). Federal Information Process Standards Publication (2002)
Schneier, B.: Applied Cryptography. John Wiley & Sons, Chichester (1996)
Sion, R.: Proving ownership over categorical data, vol. 0, p. 584. IEEE Computer Society, Los Alamitos (2004)
Sion, R., Atallah, M., Prabhakar, S.: Rights protection for relational data, vol. 16, pp. 1509–1525. IEEE Computer Society, Los Alamitos (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bhattacharya, S., Cortesi, A. (2009). A Generic Distortion Free Watermarking Technique for Relational Databases. In: Prakash, A., Sen Gupta, I. (eds) Information Systems Security. ICISS 2009. Lecture Notes in Computer Science, vol 5905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10772-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-10772-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10771-9
Online ISBN: 978-3-642-10772-6
eBook Packages: Computer ScienceComputer Science (R0)