Malware Propagation Models in Wireless Sensor Networks: a Review

• Araceli Queiruga-Dios ^[1] ; Ascensión Hernández Encinas ^[1] ; Martín-Vaquero, Jesus ^[1] ; Luis Hernández Encinas ^[2]
  1. [1] Universidad de Salamanca

     Universidad de Salamanca

     Salamanca, España

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

     Centro de Tecnologías Físicas y de la Información Leonardo Torres Quevedo

     Madrid, España

     
• Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay , José Manuel López Guede , Oier Etxaniz, Álvaro Herrero Cosío , Héctor Quintián Pardo , Emilio Santiago Corchado Rodríguez , 2017, ISBN 978-3-319-47364-2, págs. 648-657
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• 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.