Applying genetic algorithms on multi-level micro-aggregation techniques for secure statistical databases
Other Title(s)
تطبيق الخوارزميات الجينية على التقنيات التجميعية الدقيقة متعددة المستويات لسرية قواعد البيانات الإحصائية
Dissertant
Thesis advisor
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2018
English Abstract
Micro-aggregation is one of the Statistical Disclosure Controls (SDC) for micro-data file.
Micro-data file is aggregated into groups of fixed-size k or variable-size between k and 2k-1, where k is a constant threshold set by protector, prior to publication.
The rationale behind this is to prevent disclosure of individual information and to provide an accurate statistical summary.
A new genetic micro-aggregated algorithm is proposed, to be implemented, tested and compared to the state-of-the-art.
The proposed algorithm is designed for a fixed-size.
A new novel two-stage multi-variate micro-aggregation technique is proposed.
It is called Genetic Multi-variate Micro-Aggregation Technique (GMMAT).
It utilizes a genetic algorithm to aggregate the multi-variate micro-data in order to reach an equilibrium point between Information Loss (IL) and Disclosure Risk (DR).
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
64
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background and literature review.
Chapter Three : Methodology.
Chapter Four : Results and discussion.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Nawfal, Umar Salih. (2018). Applying genetic algorithms on multi-level micro-aggregation techniques for secure statistical databases. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-833203
Modern Language Association (MLA)
Nawfal, Umar Salih. Applying genetic algorithms on multi-level micro-aggregation techniques for secure statistical databases. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2018).
https://search.emarefa.net/detail/BIM-833203
American Medical Association (AMA)
Nawfal, Umar Salih. (2018). Applying genetic algorithms on multi-level micro-aggregation techniques for secure statistical databases. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-833203
Language
English
Data Type
Arab Theses
Record ID
BIM-833203
