Modeling Malware Propagation in Wireless Sensor Networks with Individual-Based Models

Abstract

The main goal of this work is to propose an individual-based model to simulate malware propagation over a wireless sensor network. Specifically, this is an improvement of the model proposed by Y. Song and G.P. Jiang in 2009 (see [11]) and based on a two-dimensional cellular automata whose cellular space is an homogeneous lattice where sensors are placed. In our model, different types of nodes are now considered (sensor nodes, router nodes and sink nodes) and heterogeneous topologies are used. The simulations computed lead to obtain more realistic scenarios for malware propagation over wireless sensor networks.