Developing robust watermarking of relational database systems
Dissertant
Thesis advisor
al-Hajj, Ali Muhammad Muhammad
Comitee Members
Naum, Riyad Shakir
al-Uqayli, Salih
Shalabi, Riyad
University
Arab Academy for Financial and Banking Sciences
Faculty
The Faculty of Information Systems and Technology
University Country
Jordan
Degree
Ph.D.
Degree Date
2008
English Abstract
Digital multimedia watermarking technology has been suggested in the last decade to embed copyright information in digital objects such images, audio and video.
However, the increasing use of databases in many real-life applications has recently created an ever increasing need for watermarking databases.
As a result, watermarking relational databases is now merging as a research area that deals with the legal issue of copyright protection of database systems.
In this thesis, we propose three efficient database watermarking algorithms based on inserting binary image watermarks in non-numeric mutli-word attributes of selected database tuples.
The first algorithm inserts watermark bits in the mostly un-noticed time attributes of selected tuples.
The second and third algorithms work on English and Arabic characters, respectively.
The second algorithm inserts watermark bits by making use of the space that exist between English characters.
The third algorithm makes use of the expandability of most Arabic characters to insert watermark bits.
The three algorithms were evaluated against four database attacks : subset deletion, subset addition, subset alteration and subset selection.
Our results shows that the three algorithms are robust as they resist attempts to remove or degrade the embedded watermark, and they are blind as they does not require the original database in order to extract the embedded watermark.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
86
Table of Contents
Table of contents.
Abstract.
Chapter one : Introduction.
Chapter two : database watermarking.
Chapter three : literature survey.
Chapter four : time-attribute based watermarking.
Chapter five : watermarking of english-character attributes.
Chapter six : watermarking arabic-character attributes.
Chapter seven : conclusion and future works.
References.
American Psychological Association (APA)
Awdah, Ashraf. (2008). Developing robust watermarking of relational database systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306321
Modern Language Association (MLA)
Awdah, Ashraf. Developing robust watermarking of relational database systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences. (2008).
https://search.emarefa.net/detail/BIM-306321
American Medical Association (AMA)
Awdah, Ashraf. (2008). Developing robust watermarking of relational database systems. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306321
Language
English
Data Type
Arab Theses
Record ID
BIM-306321
