Master of Science (MS)
A botnet consists of a network of infected computers which are controlled re- motely via a command and control (C&C) server. A typical botnet requires frequent communication between the C&C server and the infected nodes. Previous approaches to detecting botnets have employed various machine learning techniques, based on features extracted from network tra c. In this research, we carefully analyze the pe- riodicity of tra c as a means for detecting a variety of botnets by applying machine learning to publicly available datasets.
Nagarajan, Prathiba, "Analysis of Periodicity in Botnets" (2017). Master's Projects. 544.
Available for download on Friday, June 01, 2018