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Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network

Oscar Trullols-Cruces 1 Marco Fiore 2, 3, * Jose Maria Barcelo-Ordinas 1 
* Corresponding author
2 URBANET - Réseaux capillaires urbains
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : The large-scale adoption of vehicle-to-vehicle (V2V) communication technologies risks to significantly widen the attack surface available to mobile malware targeting critical automobile operations. Given that outbreaks of vehicular computer worms self-propagating through V2V links could pose a significant threat to road traffic safety, it is important to understand the dynamics of such epidemics and to prepare adequate countermeasures. In this paper we perform a com- prehensive characterization of the infection process of variously behaving vehicular worms throughout a road traffic scenario of unprecedented scale and heterogeneity. We then propose a simple yet effective data-driven model of the worm epidemics, and we show how it can be leveraged for smart patching infected vehicles through the cellular network in presence of a vehicular worm outbreak.
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Submitted on : Friday, March 29, 2013 - 9:49:37 AM
Last modification on : Thursday, January 20, 2022 - 4:17:40 PM




Oscar Trullols-Cruces, Marco Fiore, Jose Maria Barcelo-Ordinas. Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network. WoWMoM 2013 - IEEE 14th International Symposium on a World of Wireless, Mobile and Multimedia Networks, Jun 2013, Madrid, Spain. pp.1-9, ⟨10.1109/WoWMoM.2013.6583402⟩. ⟨hal-00805849⟩



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