Water marking and finger printing for relational data base

Dissertant

al-Mahdi, Bashshar al-Sadun

University

University of Technology

Faculty

-

Department

Computer Sciences Department

University Country

Iraq

Degree

Master

Degree Date

2008

English Abstract

Today, more and more valuable database relations are widely used and distributed over the Internet, Thus, there is a need for the owner to protect valuable content from illicit copying and illegal redistributing when it's to be sold or distributed to potentially untrusted parties. Watennarking is an effective technology for digital rights protection.

A watermark is embedded by introducing small errors to the original content without affecting significantly the usability of it for the intended purpose. This project provides the effective watermarking technique to protect valuable numeric relational data from illegal duplications and redistributions as well as to claim ownership and suspect traitor.

The project consists of three phases, as follows : The first stage is insertion of the watermark and fingerprint to the relational database that ensures that some bit positions of some of the attributes of some of the tuples contain specific values, the tuples, attributes within a tuple, bit positions in an attribute, and specific bit values are all algorilhmically determined under the control of a private keys known only to the owner of the data, as well as by control of various MAC (Message Authenticated Code) functions that depending on the One-Way hash function standard SHA1 algorithms to produces 160 bit hash value , and by using the Geffe's Generator based on simple combination of three LFSR's ,using their techniques provides more robust and protection to the system.

This bit pattern constitutes the watermark or fingerprint value depending on the value of control parameter determined by owner only, the result of this stage is marked relational database, The second stage is detection of the watermark and fingerprint by the same secret parameters that are used in the watermark and fingerprint insertion and by the significance level a that determines how amenable system is to false hits.

Detecting the watermark and fingerprint neither requires access to the original data nor the watermark and fingerprint.

Both of them can be detected even in a small subset of a watermarked relation as long as the sample contains some of the marks. The third stage is the analysis of proposed system, our extensive analysis shows that the proposed technique is robust against various forms of malicious attacks and updates to the data. Finally, the proposed system provides a new technique that uses watermarking and fingerprinting techniques in the same time to identity the ownership and the illegal distributor of the relational database.

Main Subjects

Information Technology and Computer Science

Topics

• Data protection
• Encryption
• Databases
• Relational databases
• Security measures
• Data

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-305424