A Multi-attribute Watermarking Technique on Relational Data for Ownership Protection
ISSN
2349-5162
Cite This Article
"A Multi-attribute Watermarking Technique on Relational Data for Ownership Protection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.552-556, January-2018, Available :http://www.jetir.org/papers/JETIR1801105.pdf
The property of personnel or organisation can be prove by using watermarking. Original data is encoded in the watermark bit and after the data decoding it is handover to the data owner in reversible watermarking technique. This technique can protect the ownership of data and data recovery after decoding of data. For the watermark data encoding our proposed technique uses feature selection and partitioning of data. This technique selects the multiple attribute from original database for the watermark encoding. Data distortion and information loss can be minimizing by use of data partitioning and pre-processing of data. The proposed technique result shows it is more efficient, scalable, and reversible against various attacks for the relational database as compare to the existing techniques.
Key Words
Watermarking, Reversible watermarking, non-numerical. Relational Databases, Ownership I. INTRODUCTION
Cite This Article
"A Multi-attribute Watermarking Technique on Relational Data for Ownership Protection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp552-556, January-2018, Available at : http://www.jetir.org/papers/JETIR1801105.pdf
Publication Details
Published Paper ID: JETIR1801105
Registration ID: 180087
Published In: Volume 5 | Issue 1 | Year January-2018
"A Multi-attribute Watermarking Technique on Relational Data for Ownership Protection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp552-556, January-2018, Available at : http://www.jetir.org/papers/JETIR1801105.pdf