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A new watermarking approach for relational data

Published: 28 March 2008 Publication History

Abstract

The importance of digital watermarking for digital assets such as relational databases to preserve their copyrights is becoming more and more important as time goes by. In the past few years, a large number of techniques have been proposed for hiding copyright marks specifically on relational databases. In this paper, we present an effective watermarking technique for relational data that is robust against various attacks. While previous techniques have been mainly concerned with introducing errors into the actual data, our approach inserts new tuples that are not real and we call them "fake" tuples, to the relation as watermarks. We will show that our approach leads to an effective technique that is robust against different forms of malicious attacks as well as benign updates to the data.

References

[1]
Agrawal, R., Haas, P., and Kiernan, J. 2003. Watermarking relational data: framework, algorithms and analysis. The VLDB Journal 12, 2 (Aug. 2003), 157--169. DOI= http://dx.doi.org/10.1007/s00778-003-0097-x
[2]
Li, Y. and Deng, R. H. 2006. Publicly verifiable ownership protection for relational databases. In Proceedings of the 2006 ACM Symposium on information, Computer and Communications Security (Taipei, Taiwan, March 21--24, 2006). ASIACCS '06. ACM, New York, NY, 78--89. DOI= http://doi.acm.org/10.1145/1128817.1128832
[3]
Zhou, X., Huang, M., and Peng, Z. 2007. An additive-attack-proof watermarking mechanism for databases' copyrights protection using image. In Proceedings of the 2007 ACM Symposium on Applied Computing (Seoul, Korea, March 11--15, 2007). SAC '07. ACM, New York, NY, 254--258. DOI= http://doi.acm.org/10.1145/1244002.1244066
[4]
Zhang, Z., Jin, X., Wang, J., Li, D. 2004. Watermarking Relational Database Using Image. In Proceedings of the Third International Conference on Machine Leaning and Cybernetics, (Shanghai, August 26--29, 2004).
[5]
Petitcolas, F. A., Anderson, R. J., and Kuhn, M. G. 1998. Attacks on Copyright Marking Systems. In Proceedings of the Second international Workshop on information Hiding (April 14--17, 1998). D. Aucsmith, Ed. Lecture Notes In Computer Science, vol. 1525. Springer-Verlag, London, 218--238.
[6]
Sion, R., Atallah, M., and Prabhakar, S. 2003. Rights protection for relational data. In Proceedings of the 2003 ACM SIGMOD international Conference on Management of Data (San Diego, California, June 09--12, 2003). SIGMOD '03. ACM, New York, NY, 98--109. DOI= http://doi.acm.org/10.1145/872757.872772
[7]
Yong, Z., Xia-mu, N., Khan, A., Qiong, L., and Qi, H. 2006. A novel method of watermarking relational databases using character string. In Proceedings of the 24th IASTED international Conference on Artificial intelligence and Applications (Innsbruck, Austria, February 13--16, 2006). V. Deved, Ed. International Association Of Science And Technology For Development. ACTA Press, Anaheim, CA, 120--124.
[8]
Anderson, R. J. 2001 Security Engineering: a Guide to Building Dependable Distributed Systems. 1st. John Wiley & Sons, Inc.
[9]
Fu, Y., Jin C., and Ma, C. 2007. A Novel Relational Database Watermarking Algorithm. Intelligence and Security Informatics. Lecture Notes in Computer Science, vol. 4430. Springer, 208--219.

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  • (2022)Comparative Analysis of Relational Database Watermarking Techniques: An Empirical StudyIEEE Access10.1109/ACCESS.2022.315786610(27970-27989)Online publication date: 2022
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  1. A new watermarking approach for relational data

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    cover image ACM Other conferences
    ACMSE '08: Proceedings of the 46th annual ACM Southeast Conference
    March 2008
    548 pages
    ISBN:9781605581057
    DOI:10.1145/1593105
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    Publication History

    Published: 28 March 2008

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    Author Tags

    1. relational database
    2. watermarking

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    ACM SE08
    ACM SE08: ACM Southeast Regional Conference
    March 28 - 29, 2008
    Alabama, Auburn

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    Overall Acceptance Rate 502 of 1,023 submissions, 49%

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    • (2023)Traceable high-dimensional data publishing based on Alliance ChainProceedings of the 2023 5th International Conference on Blockchain Technology10.1145/3638025.3638027(1-7)Online publication date: 10-Nov-2023
    • (2023)SPSW: Database Watermarking Based on Fake Tuples and Sparse Priority Strategy2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom60117.2023.00128(896-903)Online publication date: 1-Nov-2023
    • (2022)Comparative Analysis of Relational Database Watermarking Techniques: An Empirical StudyIEEE Access10.1109/ACCESS.2022.315786610(27970-27989)Online publication date: 2022
    • (2021)Context-Based Zero Database Watermarking Scheme Based on Evolutionary MechanismAdvanced Machine Learning Technologies and Applications10.1007/978-3-030-69717-4_94(1005-1015)Online publication date: 5-Mar-2021
    • (2020)A Recent Survey on Multimedia and Database WatermarkingMultimedia Tools and Applications10.1007/s11042-020-08881-y79:27-28(20149-20197)Online publication date: 1-Jul-2020
    • (2019)Toward watermarking compressed data in columnar database architecturesSECURITY AND PRIVACY10.1002/spy2.843:4Online publication date: 15-Jul-2019
    • (2017)Protection of Relational Databases by Means of Watermarking: Recent Advances and ChallengesAdvances in Security in Computing and Communications10.5772/intechopen.68412Online publication date: 19-Jul-2017
    • (2017)Adapting MapReduce for Efficient Watermarking of Large Relational Dataset2017 IEEE Trustcom/BigDataSE/ICESS10.1109/Trustcom/BigDataSE/ICESS.2017.306(729-736)Online publication date: Aug-2017
    • (2017)Partitioning-Insensitive Watermarking Approach for Distributed Relational DatabasesTransactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI10.1007/978-3-662-56266-6_8(172-192)Online publication date: 28-Nov-2017
    • (2016)Relational Database, XML, and Ontology WatermarkingDigital Watermarking10.1007/978-981-10-2095-7_10(145-161)Online publication date: 9-Aug-2016
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