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- W2048348771 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 comprehensive characterization of the infection process of variously behaving vehicular worms on 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." @default.
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- W2048348771 date "2013-06-01" @default.
- W2048348771 modified "2023-10-18" @default.
- W2048348771 title "Understanding, modeling and taming mobile malware epidemics in a large-scale vehicular network" @default.
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- W2048348771 doi "https://doi.org/10.1109/wowmom.2013.6583402" @default.
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