Botconf'13, the "First botnet fighting conference" took place in Nantes, France from 5-6 December 2013. Botconf aimed to bring together the anti-botnet community, including law enforcement, ISPs and researchers. To this end the conference was a huge success, especially since a lot of networking occurred over the lunch and tea breaks as well as the numerous social events organised by Botconf.
I was fortunate enough to attend as a speaker and to present a small part of my Masters research. The talk focused the use of Spatial Statistics to detect Fast-Flux botnet Command and Control (C2) domains based on the geographic location of the C2 servers. This research aimed to find novel techniques that would allow for accurate and lightweight classifiers to detect Fast-Flux domains. Using DNS query responses it was possible to identify Fast-Flux domains based on values such as the TTL, number of A records and different ASNs. In an attempt to increase the accuracy of this classifier, additional analysis was performed and it was observed that Fast-Flux domains tended to have numerous C2 servers widely dispersed geographically. Through the use of the statistical methods employed in plant and animal dispersion statistics, namely Moran's I and Geary's C, new classifiers were created. It was shown that these classifiers could detect Fast-Flux domains with up to a 97% accuracy, maintaining a False Positive rate of only 3.25% and a True Positive rate of 99%. Furthermore, it was shown that the use of these classifiers would not significantly impact current network performance and would not require changes to current network architecture.
The scripts used to conduct the research are available on github and are in the process of being updated (being made human readable): https://github.com/staaldraad/fastfluxanalysis
The following blogs provide a comprehensive round-up of the conference including summaries of the talks: