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Proactive Botnet Detection: Through Characterization of Distributed Denial of Service Attacks
In this study two distributed denial of service attacks were captured and the characteristics of the attacks were used to detect botnets by identifying egressing distributed denial of service attack packets at the source of the attack. A sample Dark DDoSer botnet was constructed and used to launch a distributed denial of service attack, and a Black Energy DDoS attack was captured. The characteristics of the distributed denial of service attacks were used as the independent variables in a quasi-experiment where network traffic was monitored with Snort to detect DDoS packets. The dependent variable for the experiment was false positive alerts for the DDoS packets. The findings showed that the characteristics of a distributed denial of service attack can be used to pro-actively detect botnets through egress monitoring.
Table of Contents
Chapter 1: Introduction
Chapter 2: Literature Review
Chapter 3: Method
Chapter 4: Results
Chapter 5: Conclusions And Recommendations
Appendix A – Computer Configuration
Appendix B – Leon Ward Email
Appendix C – Digital Corpora
Appendix D – Literature Search
Appendix E – Methodology Map
Book Details
- Author: Dr. Thomas Hyslip
- Pages: 108 pages
- Edition: 1
- Publication Date: 2015-04-07
- Language: English
- ISBN-10: B00VU1TNXS
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