This research addresses the problem of malicious code propagation in a swarm of drones. Its main objective is to establish the conceptual basis and its setting for the modelling framework of malware propagation using mathematical epidemiology as a core. Specifically, this work identifies the disadvantages associated with the traditional mathematical models employed to simulate malware spreading, revealing the most relevant factors to be considered in order to achieve an ad-hoc modeling that better represents the behavior of the propagation of such malicious code in the drone configuration under study. The relevance of this work is both to contribute to a better understanding of how vulnerabilities in these devices could be exploited and to guide the formulation of cybersecurity measures in line with these problems.