Abstract

Intrusion detection research over the last twenty years has focused on the threat of individuals illegally hacking into systems. Nowadays, intrusion threat to computer systems has changed radically. Instead of dealing with hackers, most current works focus on defending the system against code-driven attacks. Today’s web script codes such as VBScript are receiving increasing focus as a backdoor for attacking many computers through e-mail attachments or infected web sites. The nature of these malicious codes is that they can spread widely causing serious damages to many applications. Moreover, the majority of anti-virus tools used today are able to detect known attacks but are unable to detect new and unknown attacks. The work in this thesis presents an Anomaly host based Intrusion Detection System (IDS) that provides protection against web attacks from malicious VBScripts. The core of the system treats anomalies as outliers and this IDS model uses a Multivariate Statistical technique, Principal Component Analysis (PCA) to reduce the dimensionality of the problem while keeping the major principal components of benign instances. Hence, the system can easily filter malicious scripts that deviate from normal behavior and allow for normal scripts to bypass; so any future or unknown VBScript attacks are effectively captured while maintaining a low rate of false alarms.

Department

Computer Science & Engineering Department

Degree Name

MS in Computer Science

Date of Award

6-1-2005

Online Submission Date

February 2013

First Advisor

El Kassas, Sherif

Committee Member 1

El Kassas, Sherif

Committee Member 2

Goneid, Amr

Document Type

Thesis

Extent

160 p.

Rights

The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. The author has granted the American University in Cairo or its agents a non-exclusive license to archive this thesis, dissertation, paper, or record of study, and to make it accessible, in whole or in part, in all forms of media, now or hereafter known.

IRB

Not necessary for this item

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