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Malware Propagation Models in Wireless Sensor Networks: A Review

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International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 (SOCO 2016, CISIS 2016, ICEUTE 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 527))

Abstract

Mathematical models to study to simulate the spread of malware are widely studied today. Malware spreading in Wireless Sensor Networks (WSNs) has special relevance as these networks consist on hundreds or even thousands of autonomous devices (sensors) able to monitor and to communicate with one another. Malware attacks on WSNs have become a critical challenge because sensors generally have weak defense capabilities, that is why the malware propagation in WSNs is relevant for security community. In this paper, some of the most important and recent global mathematical models to describe malware spreading in such networks are presented.

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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-C2-1-R and TIN2014-55325-C2-2-R.

Author information

Authors and Affiliations

  1. Department of Applied Mathematics, University of Salamanca, Salamanca, Spain

    Araceli Queiruga-Dios, Ascensión Hernández Encinas & Jesus Martín-Vaquero

  2. Institute of Physical and Information Technologies, Spanish National Research Council, Madrid, Spain

    Luis Hernández Encinas

Authors
  1. Araceli Queiruga-Dios
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  2. Ascensión Hernández Encinas
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  3. Jesus Martín-Vaquero
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  4. Luis Hernández Encinas
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Corresponding author

Correspondence to Araceli Queiruga-Dios .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Manuel Graña

  2. University of the Basque Country, Vitoria, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Queiruga-Dios, A., Hernández Encinas, A., Martín-Vaquero, J., Hernández Encinas, L. (2017). Malware Propagation Models in Wireless Sensor Networks: A Review. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_63

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  • DOI: https://doi.org/10.1007/978-3-319-47364-2_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47363-5

  • Online ISBN: 978-3-319-47364-2

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