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Data and knowledge protection in data mining
Other Title(s)
حماية البيانات و المعرفة في تنقيب البيانات
Dissertant
Thesis advisor
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
No. of Pages
58
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction in data mining and security.
Chapter Two : Literature reviews.
Chapter Three : The proposed solution.
Chapter Four : Privacy and knowledge protection systems and results.
Chapter Five : Recommendations.
References.
American Psychological Association (APA)
Abu Shihab, Suhad F.. (2012). Data and knowledge protection in data mining. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-522835
Modern Language Association (MLA)
Abu Shihab, Suhad F.. Data and knowledge protection in data mining. (Master's theses Theses and Dissertations Master). Amman Arab University. (2012).
https://search.emarefa.net/detail/BIM-522835
American Medical Association (AMA)
Abu Shihab, Suhad F.. (2012). Data and knowledge protection in data mining. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-522835
Language
English
Data Type
Arab Theses
Record ID
BIM-522835