On the Statistical Analysis of an Individual-Based SI Model for Malware Propagation on WSNs.

Usually statistical techniques are employed to analyze malware behavior mainly through machine learning-based methods. However it seems legitimate to wonder if some statistical methods could be useful as a complementary tool to malicious code propagation models. This work explores this possibility with a first (and simple) application of the use of survival analysis to the study of the simulations obtained from a compartmental and individual SI model whose dynamics is described by means of a cellular automaton. The results obtained are in line with what could reasonably be expected.