An algorithm resistive to invertibility attack in watermarking relational databases

As a copyright protection technique, digital watermarking has arisen more and more attention from the public. It has been widely applied to copyright protection of multimedia data (images, video and audio). The increasing use of relational databases also calls for the need of applying the technique to databases in order to protect the copyright. With the development of digital watermarking technique for relational databases, some studies go deep into watermarking attacks. Study on attacks will obtain algorithm's improvement and technique's development. Although there are several relational database digital watermarking algorithms, they cannot resist some attacks like invertibility attack. Invertibility attack is such an attack that the attacker finds a fictitious watermark in the watermarked database, and he fabricates an original database to announce his copyright possession. Thus it will result in the confusion of copyright confirmation. After analyzing the invertibility attack and studying the current watermarking algorithms on relational databases, we propose an algorithm by constructing relating characteristics according to the content of the database, which can resist invertibility attack efficiently. The simulative experiments also demonstrate that the algorithm is resistive to subset attacks as well.

[1]  Munaga V. N. K. Prasad,et al.  Digital watermarking for relational databases using traceability parameter , 2009, Int. J. Comput. Appl. Technol..

[2]  Radu Sion,et al.  Rights protection for relational data , 2003, IEEE Transactions on Knowledge and Data Engineering.

[3]  Pla Uni,et al.  Watermarking Relational Databases , 2003 .

[4]  Liu Zhen-hua Interpretation Attacks and Its Resolution , 2001 .

[5]  Zhang Hui,et al.  Watermarking Relational Databases for Ownership Protection , 2003 .

[6]  Peter J. Haas,et al.  Watermarking relational data: framework, algorithms and analysis , 2003, The VLDB Journal.

[7]  Li Qing Interpretation Attack and Relating Characteristic of Digital Watermarking , 2005 .

[8]  Jian-Min Wang,et al.  Watermarking relational database using image , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[9]  Rakesh Agrawal,et al.  Watermarking Relational Databases , 2002, Very Large Data Bases Conference.

[10]  Le Jia-jin Research Work and Progress in Database Watermarking , 2006 .