A Software System for Large-Scale Simulation of Malware Propagationin Computer Networks

Today, the presence of methods and tools for large-scale modeling of different types of epidemic        phenomena is a serious and critical requirement. Understanding these phenomena and discovering        strategic solutions in various situations is also very important. Regarding the large number of agents and their complicated behaviors and lack of theoretical and analytical solutions, the need for simulation systems is so clear. In this paper, we introduce a software system for simulation of epidemic phenomena, especially   malware propagation in computer networks. This software system is able to simulate a large number of agents with different propagation models and parameters and show the graphical and statistical results dynamically. Distributed architecture, using real-world data, ability to use different kinds of epidemic   models and dynamic visualization of simulation results, are some of the innovations of the proposed     method. By performing different simulations, the relationships between infection density and simulation parameters such as the propagation model, the infection probability and the probability of vulnerability, were investigated over time. Additionally, the correctness of the simulation results is confirmed by         comparing them to the results obtained from analytical methods.