Malware Propagation Models in Wireless Sensor Networksa Review

  1. Araceli Queiruga-Dios 1
  2. Ascensión Hernández Encinas 1
  3. Martín-Vaquero, Jesus 1
  4. Luis Hernández Encinas 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Centro de Tecnologías Físicas y de la Información Leonardo Torres Quevedo
    info

    Centro de Tecnologías Físicas y de la Información Leonardo Torres Quevedo

    Madrid, España

    ROR https://ror.org/00zsy6110

Libro:
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings
  1. Manuel Graña (coord.)
  2. José Manuel López-Guede (coord.)
  3. Oier Etxaniz (coord.)
  4. Álvaro Herrero (coord.)
  5. Héctor Quintián (coord.)
  6. Emilio Corchado (coord.)

Editorial: Springer Suiza

ISBN: 978-3-319-47364-2,  3-319-47364-6,  978-3-319-47363-5,  3-319-47363-8

Año de publicación: 2017

Páginas: 648-657

Congreso: International Conference on Computational Intelligence in Security for Information Systems (9. 2016. San Sebastián)

Tipo: Aportación congreso

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Resumen

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.

Fuente de los datos: Dialnet