Abstract
There are a great variety of specimens of malware: computer viruses, computer worms, trojans, etc. Nowadays, malware is one of the most important computer security problem and the source of great financial losses. Consequently, it is necessary to design tools that allow one to simulate the behavior of malware propagation. These tools are based on mathematical models and the great majority of them tackle the study of a particular type of malware called computer worms. Nevertheless, to the best of our knowledge, there are few models devoted to the study of the spreading of computer viruses. In this sense, the main goal of this work is to introduce a new mathematical model, based on cellular automata, to analyze the epidemic behavior of computer virus. Specifically, it is a SEIR (Susceptible-Exposed-Infectious-Recovered) model where the nodes of the network are divided into four compartments: susceptible, exposed, infected and recovered.
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Acknowledgments
This work has been supported by Ministerio de Economía y Competitividad (Spain) and the European Union through FEDER funds under grants TIN2014-55325-C2-2-R and MTM2015-69138-REDT.
F.K. Batista and S. Quintero-Bonilla have been supported by IFARHU-SENACYT scholarship program (Panama).
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Batista, F.K., Martín del Rey, Á., Quintero-Bonilla, S., Queiruga-Dios, A. (2018). A SEIR Model for Computer Virus Spreading Based on Cellular Automata. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_62
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DOI: https://doi.org/10.1007/978-3-319-67180-2_62
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