Abstract
Malware is a potential vulnerability for the Internet of Things; it is for this reason that spread of malware on Wireless Sensor Networks has been studied from different perspectives. However, the individual characteristics have not been considered in most of the proposed models. Consequently, Agent-Based Models can be used, as a mathematical tool, to analyse malware propagation. In this work, an ABM is created from three main elements: agents, environment and rules. This article presents a review of an agent-based model to simulate malware spreading in wireless sensor networks.
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Acknowledgements
This research has been partially supported by Ministerio de Ciencia, Innovación y Universidades (MCIU, Spain), Agenda Estatal de Investigación (AEI, Spain), and Fondo Europeo de Desarrollo Regional (FEDER, UE) under project with reference TIN2017-84844-C2-2-R (MAGERAN) and the project with reference SA054G18 supported by Consejería de Educación (Junta de Castilla y León, Spain).
F.K. Batista has supported by IFARHU-SENACYT scholarship program (Panama).
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Batista, F.K., del Rey, A.M., Queiruga-Dios, A. (2020). A Review of SEIR-D Agent-Based Model. In: Herrera-Viedma, E., Vale, Z., Nielsen, P., Martin Del Rey, A., Casado Vara , R. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1004. Springer, Cham. https://doi.org/10.1007/978-3-030-23946-6_15
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