• Anuj Kumar Dwivedi Research scholar, Jodhpur National University, Jodhpur, India.
  • Dr. B. K. Sharma Professor, Ajay Kumar Garg Engineering College, Ghaziabad, India Ghaziabad, India.
  • Dr. A. K. Vyas Faculty of E & T, Jodhpur National University, Jodhpur, India.


ownership protection, cutoff criteria matched value, robustness


With the rapid growth of web base environment and extensive requirement of databases, the databases owners are need to be care full about to maintain their ownership of the databases. Digital watermarking is the effective solution to protecting the copyright of databases from illegal copying by using the inherent properties of relational databases. In this paper We propose an idea to design an algorithms of watermark embedding and detection by using a predefined parameter, embedded proportion for the purpose of random selection of tuples. We incorporate the use of hash function along with owner id for security reason. In detection process a cutoff criterion is designed to verify watermarked database. It is assumed that the database can tolerate some modifications within a certain limit. Some experiments are conducted over watermark embedding and detection algorithm and the results are analyzed to show the robustness of the proposed scheme by conducting the modifying tuples or attributes attack.


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How to Cite

Anuj Kumar Dwivedi, Dr. B. K. Sharma, & Dr. A. K. Vyas. (2017). RELATIONAL DATABASES WATERMARKING TECHNIQUE BASED ON EMBEDDED PROPORTION. International Education and Research Journal (IERJ), 3(6). Retrieved from