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Proactive Botnet Detection: Through Characterization of Distributed Denial of Service Attacks
Contributor(s): Hyslip, Thomas S. (Author)
ISBN: 1508433119     ISBN-13: 9781508433118
Publisher: Createspace Independent Publishing Platform
OUR PRICE:   $5.61  
Product Type: Paperback
Published: April 2015
Qty:
Additional Information
BISAC Categories:
- Computers | Security - General
Physical Information: 0.27" H x 8.5" W x 11.02" (0.68 lbs) 126 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
In this quantitative quasi-experimental 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. 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.