| Title | A distortion-free watermarking approach for verifying integrity of relational databases |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Siledar, Seema, Tamane, Sharvari |
| Conference Name | 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC) |
| Date Published | Oct. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5970-6 |
| Keywords | certification, composability, Conferences, database watermarking, Databases, distortion, Distortion-free, Human Behavior, integrity protection, Metrics, pubcrawl, Registers, Relational Database, relational database security, relational databases, resilience, Resiliency, tamper detection, Watermarking |
| Abstract | Due to high availability and easy accessibility of information, it has become quite difficult to assure security of data. Even though watermarking seems to be an effective solution to protect data, it is still challenging to be used with relational databases. Moreover, inserting a watermark in database may lead to distortion. As a result, the contents of database can no longer remain useful. Our proposed distortion-free watermarking approach ensures that integrity of database can be preserved by generating an image watermark from its contents. This image is registered with Certification Authority (CA) before the database is distributed for use. In case, the owner suspects any kind of tampering in the database, an image watermark is generated and compared with the registered image watermark. If both do not match, it can be concluded that the integrity of database has been compromised. Experiments are conducted on Forest Cover Type data set to localize tampering to the finest granularity. Results show that our approach can detect all types of attack with 100% accuracy. |
| URL | https://ieeexplore.ieee.org/document/9299653 |
| DOI | 10.1109/ICSIDEMPC49020.2020.9299653 |
| Citation Key | siledar_distortion-free_2020 |
A distortion-free watermarking approach for verifying integrity of relational databases