An Individual-Based Model for Malware Propagation in Wireless Sensor Networks

In this work a novel mathematical model to simulate malware spreading in wireless sensor networks is introduced. This is an improvement of the global model (based on a system of delayed ordinary differential equations) proposed by Zhu and Zhao in 2015 ([15]). Specifically, our model follows the individual-based paradigm which allows us to consider the particular characteristics and specifications of each element of the model.

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