Watermarking of relational databases

Joint Authors

Muhammad, M. A.
Jamal, G. H.
Rashad, M. Z.

Source

International Journal of Intelligent Computing and Information Sciences

Issue

Vol. 8, Issue 1 (31 Jan. 2008)9 p.

Publisher

Ain Shams University Faculty of Computer and Information Sciences

Publication Date

2008-01-31

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

In this paper, a modified integrated version of the famous R.

Agrawal’s technique that was introduced for protecting the ownership of relational database that contains only numeric values by converting a set of randomly selected tuples of that relational database.

This proposed modification is based on least significant bits.

Also presents a comparative study between the two techniques to highlight the affected of the relational database's application accuracy and watermark capacity.

Furthermore the problem is how to protect the ownership of the relational databases? The copyright protection inserts evidence into the digital objects without lossless of its quality.

The solution of embedding information in multimedia data is the use of digital watermarking.

There are many approaches used in how to protect copyrights.

Also, it is found that digital watermark cannot survive every malicious attack, the watermarked object still useful for the intended purpose.

American Psychological Association (APA)

Jamal, G. H.& Rashad, M. Z.& Muhammad, M. A.. 2008. Watermarking of relational databases. International Journal of Intelligent Computing and Information Sciences،Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284654

Modern Language Association (MLA)

Jamal, G. H.…[et al.]. Watermarking of relational databases. International Journal of Intelligent Computing and Information Sciences Vol. 8, no. 1 (Jan. 2008).
https://search.emarefa.net/detail/BIM-284654

American Medical Association (AMA)

Jamal, G. H.& Rashad, M. Z.& Muhammad, M. A.. Watermarking of relational databases. International Journal of Intelligent Computing and Information Sciences. 2008. Vol. 8, no. 1.
https://search.emarefa.net/detail/BIM-284654

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references.

Record ID

BIM-284654