Data and knowledge protection in data mining

Other Title(s)

حماية البيانات و المعرفة في تنقيب البيانات

Dissertant

Abu Shihab, Suhad F.

Thesis advisor

al-Hamami, Ala Husayn

Comitee Members

al-Shalabi, Riyad Farhan
Nassar, Muhammad

University

Amman Arab University

Faculty

Collage of Computer Sciences and Informatics

Department

Department of Computer Science

University Country

Jordan

Degree

Master

Degree Date

2012

English Abstract

Data mining used to find hidden patterns "relations" between data in huge datasets.

The data mining result "Knowledge" is something new which did not exist before in the database.

Data mining knowledge is an asset for a company so it must be protected.

This knowledge comes from personal information about individuals in the database, in this case privacy must be protected too.

This work proposed two approaches to protect both knowledge and privacy in data mining process and they were tested on a medical database.

Data Mining is a technique used to extract a new knowledge from existing data.

Anyone can use data mining, can get the new knowledge.

At the same time we can not prevent user from using the database.

The aim is to use both database and Data Mining by the authorized users only.

To control data mining process for different users with different privileges in the medical institute, two approaches were designed to protect the Database and Data Mining usage.

The first approach was concerned with privacy protection of individuals by adding noise to selected columns to be mined for an unauthorized user.

The second approach was concerned with the knowledge protection and this can be done through the use of encryption for the mined data (result) when it appears to the unauthorized user.

In this case the correct answer will appear to the authorized user only.

The results are providing a protection for privacy and knowledge in data mining process against an unauthorized user without effecting authorized user's work or change data in the database permanently.

For this reason, the data loads in to a dataset before adding noise to it or change it in anyway.

Main Subjects

Information Technology and Computer Science

Topics

• Data protection
• Data processing
• Security measures
• Data mining

No. of Pages

58

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-522835