Call For Paper Volume:6 Issue:4 Apr'2019 |

Reversible and Robust Watermarking Technique for Relational Databases

Publication Date : 22/04/2016

Author(s) :

Sampada Shukla , Shivani Vanarse , Sonali Paradhi , Pooja Panpatil.

Volume/Issue :
Volume 3
Issue 4
(04 - 2016)

Abstract :

In today’s world, data is constantly generated at an excessive pace due to the maximized use of Internet. Data is stored in various formats like images, videos, audios, and texts and also as relational data. Relational data in particular is shared extensively in research communities and in virtual data storage locations in the cloud. Their main purpose is to work in a collaborative environment and make data openly available so that it becomes useful for knowledge extraction and decision making. These databases are used effectively in collaborative environments for information extraction; consequently they are vulnerable to security threats such as ownership rights and data tampering. Watermarking is a way to enforce ownership rights over relational data and for providing means for tracking data tampering. When ownership rights are enforced using watermarking, the data undergoes certain modifications due to which, the data quality gets compromised. Reversible watermarking is a technique employed to ensure that the data in question retains its original quality along with data recovery. However, these techniques are usually not safe against attacks and do not provide any mechanism to watermark only a particular attribute by also considering its role in further knowledge discovery. Therefore, a robust reversible watermarking technique is required that ensures: (I) Watermark encoding and decoding by accounting for role of the features in knowledge discovery. (II) Recovery of original data in the case of active malicious attacks. To overcome the problem of data quality degradation and various forms of malicious attacks, a robust and reversible watermarking technique for string and numerical relational data will be implemented.

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Reversible and Robust Watermarking Technique for Relational Databases

April 15, 2016