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.
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Acknowledgments
This work has been supported by Ministerio de Economía y Competitividad (Spain) and European Union through FEDER funds under grants TIN2014-55325-C2-2-R, and MTM 2015-69138-REDT.
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del Rey, A.M., Guillén, J.D.H., Sánchez, G.R. (2016). Modeling Malware Propagation in Wireless Sensor Networks with Individual-Based Models. In: Luaces , O., et al. Advances in Artificial Intelligence. CAEPIA 2016. Lecture Notes in Computer Science(), vol 9868. Springer, Cham. https://doi.org/10.1007/978-3-319-44636-3_18
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DOI: https://doi.org/10.1007/978-3-319-44636-3_18
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