Publication Date
Fall 2011
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
In recent years, botnets have emerged as a serious threat on the Internet. Botnets are commonly used for exploits such as distributed denial of service (DDoS) attacks, identity theft, spam, and click fraud. The immense size of botnets, some consisting of hundreds of thousands of compromised computers, increases the speed and severity of attacks. Unlike passive behavior anomaly detection techniques, active botnet detection aims to collect evidence actively, in order to reduce detection time and increase accuracy. In this project, we develop and analyze a botnet that we call ActiBot, which can evade some types of active detection mechanisms. Future research will focus on using ActiBot to strengthen existing detection techniques.
Recommended Citation
Zhang, Xinjun, "ActiBot: A Botnet to Evade Active Detection" (2011). Master's Projects. 205.
DOI: https://doi.org/10.31979/etd.8xu4-mqag
https://scholarworks.sjsu.edu/etd_projects/205
