A Semi-Fragile Watermarking Scheme for Integrity Checking of Relational Databases
Murugan R.1, John T. Abraham2, Ibrahim Salim3

1Murugan R*, Associate Professor, Department of Computer Applications, MES College Marampally, Ernakulam, Kerala, India.
2John T Abraham, Assistant Professor in Computer Science, Bharata Mata College, Kochi, Kerala, India.
3Ibrahim Salim, Research Scholar, Research & Development Centre, Bharathiar University, Coimbatore, Tamilnadu, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 806-812 | Volume-8 Issue-6, March 2020. | Retrieval Number: F6996038620/2020©BEIESP | DOI: 10.35940/ijrte.F6996.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Extensive use of the Internet coupled with tremendous growth in database applications have created a huge demand for database security. The concepts of e-governance, e-commerce, e-business, e-learning, and digital libraries are already in place and evolving across poles. This raises various concomitant threats such as illegal copying, illegal redistribution, tampering, forgery and authentication of copyrighted digital assets. Digital Watermarking is an effective technique which can be introduced for solving the above mentioned threats. Based on the detection of the Watermark, the ownership and the integrity of the data can be asserted. Database Watermarking techniques are generally classified into two: i.e., Robust or Fragile. Robust watermarking techniques are designed for copyright protection and fragile watermarking techniques are for authentication or integrity checking of data. Watermarking schemes for relational databases authentication are almost fragile in nature. These algorithms do not allow any legitimate modification of the data. In most of the cases, innocent distortions such as tuple and/or attribute sorting may be considered as tampering. In this paper, the research work proposes a novel semi-fragile watermarking technique for tamper detection of relational databases. The new semi-fragile scheme can detect and localize malicious modifications, while allowing authorized updates. Theoretical analysis and experimental results demonstrate that common database attacks can be detected with high rate of success.
Keywords: Digital Watermarking, Relational Databases, Copyright Protection, Information Security, Database Attack, Semi-Fragile Watermarking Technique.
Scope of the Article: Information Retrieval.