Abstract
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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del Rey, A.M., Hernández Encinas, A., Hernández Guillén, J.D., Martín Vaquero, J., Queiruga Dios, A., Rodríguez Sánchez, G. (2016). An Individual-Based Model for Malware Propagation in Wireless Sensor Networks. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_24
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DOI: https://doi.org/10.1007/978-3-319-40162-1_24
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