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REVERSIBLE DATABASE WATERMARKING WITH DISTORTION CONTROL

Database watermarking has emerged as an effective solution to protect ownership of relational databases. Unlike images and videos, watermark insertion in databases can cause distortion leading to loss of data quality. In this paper, we propose a reversible database watermarking technique with distortion control. Firstly, we need to select optimal attributes for applying difference expansion. Pearson Correlation Coefficient (PCC) is employed to find a pair of attributes with the highest correlation. This ensures controlled distortion in the database. Later, difference expansion is applied on the selected attributes. It makes the method reversible and original data can be recovered whenever required. Experimental results show that the proposed method is robust against insertion, deletion, and modification attacks. for attributes A6 and A7 respectively. Experimental results show that the proposed method is robust against insertion attacks. Irrespective of the number of tuples added into the database, the watermark can still be completely recovered. Results show that the proposed method can recover around 60% of the watermark with 90% of modification attack rate. In case of deletion attack, the watermark detection rate decreases from 94.91% to 10.16% as the attack rate increases from 10% to 90%. Our future work is to develop a reversible technique that will reduce distortion and increase watermark detection rate even with higher attack rates.