An enhancement of the replacement steady state genetic algorithm for intrusion detection
Other Title(s)
تحسين إبدال الخوارزمية الجينية لحالة الاستقرار لكشف التطفل
Dissertant
Thesis advisor
Comitee Members
al-Kayid, Ahmad
al-Arabiyat, Abd al-Salam W.
University
Middle East University
Faculty
Faculty of Information Technology
Department
Department of Computer Information Systems
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
In these days, Internet and computer systems face many intrusions without detection or prevention by security systems built for this purpose; large volume of important data is transferred through the networks such as personal data and credit cards information.
Thus, the networks security has become more important than before.
This led the researchers to make additional researches to develop Intrusion Detection Systems.
An Intrusion Detection System (IDS) is a system used to monitor the events and detect attacks; Steady State Genetic Algorithm is applied to support IDS by supplying the rule pool with additional data, these data can be used in testing phase to detect the attacks.
The main goal of this research is to enhance Replacement steady state genetic algorithm to detect intrusions.The enhancement has been achieved by comparingreplacement methods.
This research provides that the Triple Tournament Replacementproduces more accurate results than Binary Tournament Replacement in increasingDetection Rate(DR), but both of methodsgive the same values of False Positive Rate (FPR).The results of DR with Triple Replacement are 100% for three types of attack (DoS, Probe and R2L) and 53% for U2R.The average ofDRof this system is 88.25%, andFPR is 1.48%.
It’s considered accepted results when comparing with the previous results.
Main Subjects
Information Technology and Computer Science
No. of Pages
90
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and related work.
Chapter Three : Theoretical background : intrusion detection and genetic algorithm.
Chapter Four : Proposed model and methodology.
Chapter Five : Experimental results.
Chapter Six : Conclusion and future work.
References.
American Psychological Association (APA)
Aziz, Shadha Abd al-Hafiz. (2014). An enhancement of the replacement steady state genetic algorithm for intrusion detection. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694380
Modern Language Association (MLA)
Aziz, Shadha Abd al-Hafiz. An enhancement of the replacement steady state genetic algorithm for intrusion detection. (Master's theses Theses and Dissertations Master). Middle East University. (2014).
https://search.emarefa.net/detail/BIM-694380
American Medical Association (AMA)
Aziz, Shadha Abd al-Hafiz. (2014). An enhancement of the replacement steady state genetic algorithm for intrusion detection. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-694380
Language
English
Data Type
Arab Theses
Record ID
BIM-694380
