Malware Propagation Models in Wireless Sensor Networksa Review
- Araceli Queiruga-Dios 1
- Ascensión Hernández Encinas 1
- Martín-Vaquero, Jesus 1
- Luis Hernández Encinas 2
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1
Universidad de Salamanca
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2
Centro de Tecnologías Físicas y de la Información Leonardo Torres Quevedo
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Centro de Tecnologías Físicas y de la Información Leonardo Torres Quevedo
Madrid, España
- Manuel Graña (coord.)
- José Manuel López-Guede (coord.)
- Oier Etxaniz (coord.)
- Álvaro Herrero (coord.)
- Héctor Quintián (coord.)
- Emilio Corchado (coord.)
Éditorial: Springer Suiza
ISBN: 978-3-319-47364-2, 3-319-47364-6, 978-3-319-47363-5, 3-319-47363-8
Année de publication: 2017
Pages: 648-657
Congreso: International Conference on Computational Intelligence in Security for Information Systems (9. 2016. San Sebastián)
Type: Communication dans un congrès
Résumé
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.