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| Data Security In Relational Database Management System
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Volume: 6 Issue: 4 |
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Pages: |
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Publication
Date: August 2012 |
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ISSN
(Online): 1985-1553 |
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Pages |
203 - 210 |
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Author(s) |
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Published
Date |
10-08-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Embedding Algorithm, Watermarking, Threshold Value |
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| Proving ownerships rights on outsourced relational database is a crucial issue in today\'s internet based application environments and in many content distribution applications. Here mechanism is proposed for proof of ownership based on the secure embedding of a robust imperceptible watermark in relational data. Watermarking of relational databases as a constrained optimization problem and discus efficient techniques to solve the optimization problem and to handle the constraints. This watermarking technique is resilient to watermark synchronization errors because it uses a partioning approach that does not require marker tuple. This 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. An 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. |
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R. Agrawal and J. Kiernan, “Watermarking Relational Databases,” Proc. 28th Int’l Conf. Very Large Data Bases, 2002. |
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M. Atallah and S. Lonardi, “Authentication of LZ-77 Compressed Data,” Proc. ACM Symp. Applied Computing, 2003. |
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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. |
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G. Box, “Evolutionary Operation: A Method for Increasing Industrial Productivity,” Applied Statistics, vol. 6, no. 2, pp. 81- 101, 1957. |
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E. Chong and S. Z_ ak, An Introduction to Optimization. John Wiley & Sons, 2001. |
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D. Coley, “Introduction to Genetic Algorithms for Scientists and Engineers,” World Scientific, 1999. |
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C. Collberg and C. Thomborson, “Software Watermarking: Models and Dynamic Embeddings,” Proc. 26th ACM SIGPLANSIGACT Symp. Principles of Programming Languages, Jan. 1999. |
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I. Cox, J. Bloom, and M. Miller, Digital Watermarking. Morgan Kaufmann, 2001. |
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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. |
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F. Hartung and M. Kutter, “Multimedia Watermarking Techniques,” Proc. IEEE, vol. 87, no. 7, pp. 1079- 1107, July 1999. |
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Darshana Mistry, “Comparison of Digital Water Marking methods,” International Journal on Computer Science and Engineering - Vol. 02, No. 09, 2010, 2905-2909 |
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Dolley Shukla and Manisha Sharma, “WATERMARKING SCHEMES FOR COPY PROTECTION: A SURVEY,” International Journal of Computer Science & Engineering Survey (IJCSES) Vol.3, No.1, February 2012 |
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K.Ganesan and Tarun Kumar Guptha, “Multiple Binary Images Watermarking in Spatial and Frequency Domains,” Signal & Image Processing: An International Journal (SIPIJ) Vol.1, No.2, December 2010 |
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| R.Balasubramaniam : Colleagues
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