Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/WoWMoM.2013.6583402 (literal)

Alternative label

• Oscar Trullols-Cruces, Marco Fiore, Jose M. Barcelo-Ordinas (2013)
  Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network
  in 14th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2013), Madrid, Spagna, 4-7 Giugno 2013
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Oscar Trullols-Cruces, Marco Fiore, Jose M. Barcelo-Ordinas (literal)

Pagina inizio

• 1 (literal)

Pagina fine

• 9 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 9 (literal)

Note

• IEEE Xplore digital library (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Universitat Politecnica de Catalunya, IEIIT-CNR (literal)

Titolo

• Understanding, Modeling and Taming Mobile Malware Epidemics in a Large-scale Vehicular Network (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4673-5827-9 (literal)

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. (literal)

Prodotto di

• Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) (Istituto)
• Reti wireless per il monitoraggio ambientale e info-mobilità (ICT.P07.006.001) (Modulo)

Autore CNR

• MARCO FIORE (Unità di personale interno)

Incoming links:

Prodotto

• Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) (Istituto)
• Reti wireless per il monitoraggio ambientale e info-mobilità (ICT.P07.006.001) (Modulo)

Autore CNR di

• MARCO FIORE (Unità di personale interno)