The goal of this research project is to conduct experiments in the lab and in conjunction, employ mathematical modelling to investigate botnets.
Postdoctoral fellow: Dr. Carlton Davis, Computer and Software Engineering, Ecole Polytechnique de Montréal
Lead faculty member: Dr. Jose Fernandez, Computer and Software Engineering, Ecole Polytechnique de Montréal
Botnets are networks consisting of computers that are infected with malicious codes (malware) and are consequently being remotely controlled by botnet operators. Botnets pose some of the most challenging security problems owing to their ubiquitousness, their size, their complexity, and the effectiveness with which they have been used to facilitate and perpetuate a wide range of cybercrimes. The goal of this research project is to conduct experiments in the lab and in conjunction, employ mathematical modelling to investigate botnets, with the aim of identifying distinguishing characteristics that can be utilised to accomplished the following tasks: (1) develop a better understanding of the trade-offs between the desire of botnet operators to reduce the probability of their botnet being detected, and the botnet being efficient in performing their intended purpose; (2) develop automated detection schemes for identifying computers that are engaged in botnet activities; and (3) develop effective counter-measures that can be deployed against botnets to mitigate their activities.