| Title | Digital Watermarking for Relational Database Security Using mRMR Based Binary Bat Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Tufail, Hina, Zafar, Kashif, Baig, Rauf |
| Conference Name | 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) |
| Keywords | alteration attacks, binary-bat-algorithm, Clustering algorithms, composability, Constraint optimization, constraints optimization technique, data accuracy, data integrity, data protection issues, data tempering attacks, Database-security, deletion attacks, digital watermarking, evolutionary computation, evolutionary technique, feature-subset-selection, Human Behavior, insertion attacks, Metrics, mRMR based binary bat algorithm, mRMR based feature subset selection technique, numerical relational database, pubcrawl, relational data, relational database security, relational databases, Resiliency, reversible watermarking, Robustness, security of data, security protection, watermark creation, Watermarking |
| Abstract | Publically available relational data without security protection may cause data protection issues. Watermarking facilitates solution for remote sharing of relational database by ensuring data integrity and security. In this research, a reversible watermarking for numerical relational database by using evolutionary technique has been proposed that ensure the integrity of underlying data and robustness of watermark. Moreover, mRMR based feature subset selection technique has been used to select attributes for implementation of watermark instead of watermarking whole database. Binary Bat algorithm has been used as constraints optimization technique for watermark creation. Experimental results have shown the effectiveness of the proposed technique against data tempering attacks. In case of alteration attacks, almost 70% data has been recovered, 50% in deletion attacks and 100% data is retrieved after insertion attacks. The watermarking based on evolutionary technique (WET) i.e., mRMR based Binary Bat Algorithm ensures the data accuracy and it is resilient against malicious attacks. |
| DOI | 10.1109/TrustCom/BigDataSE.2018.00298 |
| Citation Key | tufail_digital_2018 |
Digital Watermarking for Relational Database Security Using mRMR Based Binary Bat Algorithm