Publication Date

Spring 5-15-2015

Degree Type

Master's Project

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Mark Stamp

Second Advisor

Thomas Austin

Third Advisor

Fabio Di Troia

Abstract

A botnet is a collection of computers controlled by a botmaster, often used for malicious activity. Social network provides an ideal medium for botnets to spread their reach. In this research, we develop and analyze a botnet that uses Twitter for its command and control channel. We use this botnet to perform a distributed denial of service attack on a web server, and we utilize the biological epidemic models to analyze the spread of the botnet using Twitter.

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