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Issue No.01 - January (2008 vol.20)
pp: 116-129
ABSTRACT
Proving ownership rights on outsourced relational databases is a crucial issue in today internet-based application environment and in many content distribution applications. In this paper, we present a mechanism for proof of ownership based on the secure embedding of a robust imperceptible watermark in relational data. We formulate the watermarking of relational databases as a constrained optimization problem, and discuss efficient techniques to solve the optimization problem and to handle the constraints. Our watermarking technique is resilient to watermark synchronization errors because it uses a partitioning approach that does not require marker tuples. Our approach overcomes a major weakness in previously proposed watermarking techniques. Watermark decoding is based on a threshold-based technique characterized by an optimal threshold that minimizes the probability of decoding errors. We implemented a proof of concept implementation of our watermarking technique and showed by experimental results that our technique is resilient to tuple deletion, alteration and insertion attacks.
INDEX TERMS
Security and Privacy Protection, Optimization
CITATION
Mohamed Shehab, Elisa Bertino, Arif Ghafoor, "Watermarking Relational Databases Using Optimization-Based Techniques", IEEE Transactions on Knowledge & Data Engineering, vol.20, no. 1, pp. 116-129, January 2008, doi:10.1109/TKDE.2007.190668
REFERENCES
[1] R. Agrawal and J. Kiernan, “Watermarking Relational Databases,” Proc. 28th Int'l Conf. Very Large Data Bases, 2002.
[2] M. Atallah and S. Lonardi, “Authentication of LZ-77 Compressed Data,” Proc. ACM Symp. Applied Computing, 2003.
[3] M. Atallah, V. Raskin, C. Hempelman, M. Karahan, R. Sion, K. Triezenberg, and U. Topkara, “Natural Language Watermarking and Tamperproofing,” Proc. Fifth Int'l Information Hiding Workshop, 2002.
[4] G. Box, “Evolutionary Operation: A Method for Increasing Industrial Productivity,” Applied Statistics, vol. 6, no. 2, pp. 81-101, 1957.
[5] E. Chong and S. ak, An Introduction to Optimization. John Wiley & Sons, 2001.
[6] D. Coley, “Introduction to Genetic Algorithms for Scientists and Engineers,” World Scientific, 1999.
[7] C. Collberg and C. Thomborson, “Software Watermarking: Models and Dynamic Embeddings,” Proc. 26th ACM SIGPLAN-SIGACT Symp. Principles of Programming Languages, Jan. 1999.
[8] I. Cox, J. Bloom, and M. Miller, Digital Watermarking. Morgan Kaufmann, 2001.
[9] E. Dolan, R. Lewis, and V. Torczon, “On the Local Convergence of Pattern Search,” SIAM J. Optimization, vol. 14, no. 2, pp. 567-583, 2003.
[10] D. Goldberg, Genetic Algorithm in Search, Optimization and Machine Learning. Addison-Wesley, 1989.
[11] D. Gross-Amblard, “Query-Preserving Watermarking of Relational Databases and XML Documents,” Proc. 22nd ACM SIGMOD-SIGACT-SIGART Symp. Principles of Database Systems (PODS '03), pp. 191-201, 2003.
[12] F. Hartung and M. Kutter, “Multimedia Watermarking Techniques,” Proc. IEEE, vol. 87, no. 7, pp. 1079-1107, July 1999.
[13] J. Holland, Adaptation in Natural and Artificial Systems. The MIT Press, 1992.
[14] R. Hooke and T. Jeeves, “Direct Search Solution of Numerical and Statistical Problems,” J. Assoc. for Computing Machinery, vol. 8, no. 2, pp. 212-229, 1961.
[15] G. Langelaar, I. Setyawan, and R. Lagendijk, “Watermarking Digital Image and Video Data: A State-of-the-Art Overview,” IEEE Signal Processing Magazine, vol. 17, no. 5, pp. 20-46, Sept. 2000.
[16] R. Lewis and V. Torczon, “Pattern Search Methods for Linearly Constrained Minimization,” SIAM J. Optimization, vol. 10, no. 3, pp. 917-941, 2000.
[17] Y. Li, H. Guo, and S. Jajodia, “Tamper Detection and Localization for Categorical Data Using Fragile Watermarks,” Proc. Fourth ACM Workshop Digital Rights Management (DRM '04), pp. 73-82, 2004.
[18] Y. Li, V. Swarup, and S. Jajodia, “Fingerprinting Relational Databases: Schemes and Specialties,” IEEE Trans. Dependable and Secure Computing, vol. 2, no. 1, pp. 34-45, Jan.-Mar. 2005.
[19] R. Morelos-Zaragoza, The Art of Error Correcting Coding. John Wiley & Sons, 2002.
[20] J. Nocedal and S. Wright, Numerical Optimization. Prentice Hall, 1999.
[21] F. Petitcolas, R. Anderson, and M. Kuhn, “Attacks on Copyright Marking Systems,” LNCS, vol. 1525, pp. 218-238, Apr. 1998.
[22] B. Schneier, Applied Cryptography. John Wiley & Sons, 1996.
[23] R. Sion, M. Atallah, and S. Prabhakar, “Rights Protection for Relational Data,” IEEE Trans. Knowledge and Data Eng., vol. 16, no. 6, June 2004.
[24] M. Swanson, M. Kobayashi, and A. Tewfik, “Multimedia Data-Embedding and Watermarking Technologies,” Proc. IEEE, vol. 86, pp. 1064-1087, June 1998.
[25] L. Vaas, “Putting a Stop to Database Piracy,” eWEEK, Enterprise News and Revs., Sept. 2003.
[26] R. Wolfgang, C. Podilchuk, and E. Delp, “Perceptual Watermarks for Digital Images and Video,” Proc. IEEE, vol. 87, pp. 1108-1126, July 1999.
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