Author Type

Graduate Student

Date of Award

2006

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Rajput, Saeed

Thesis/Dissertation Co-Chair

Hsu, Sam

Abstract

Recent worms have used sophisticated propagation techniques to propagate faster than the patch distribution and have utilized previously unknown vulnerabilities. To mitigate repetition of such epidemics in future, active defense mechanisms are needed that not only identify malicious activity, but can also defend against widespread outbreak. We provide a framework capable of reacting quickly to quarantine infections. The fundamental components of our framework are detector and VLAN switch. We have provided a proof of concept implementation, where we use the Blaster worm as an example, and demonstrate that detection of worms is possible, and individual infected hosts can be isolated quickly. Furthermore, using Monte Carlo simulations, we show that such containment of future epidemics is possible. In addition, we also compute the overhead of detection and mitigation approaches and have shown that our approach has lower overhead compared to the others.

Extent

75 p.

Comments

College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 2006.|College of Engineering and Computer Science

Identifier

FADT13369

Format

pdf

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