Developing a host intrusion prevention system by using data mining

Other Title(s)

تطوير مضيف لنظام منع التطفل باستخدام تنقيب البيانات

Dissertant

Alawinah, Tahani Nawwaf

Thesis advisor

al-Hamami, Ala Husayn

Comitee Members

Fadil, Muayyad Abd al-Razzaq
Nasir al-Din, Hibah

University

Amman Arab University

Faculty

Collage of Computer Sciences and Informatics

Department

Department of Computer Science

University Country

Jordan

Degree

Master

Degree Date

2010

English Abstract

Intrusion Prevention System (IPS), as a security solution have their own unique characteristics in analyzing, detecting and preventing intruders' acts, which provide a quite good service in securing the network.

These special characteristics made IPS a new trend for researches at the moment.

Host based IPS mostly depend on a static signature mechanism to identify intruders, which in turn needs to be updated from time to time to insure the most accurate detection.

This study aims to enhance intruders' detection, by replacing the static database with a dynamic one, and even more adding inelegance to the detecting mechanism through data mining.

A feedback to the whole process is being made to help in making future inspections to be more realistic.

All the above will contribute to achieving enhancement in the following:  Evolving the techniques of investigating activities due to the using of data mining.

 Integrate or could eliminate antivirus programs installed on PCs.

 Maximize the level of security of the whole network, through securing single hosts.

Main Subjects

Mathematics

Topics

• Data protection
• Computers
• Security measures
• Data mining

No. of Pages

84

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-526186