Model-based simulation and threat analysis of in-vehicle networks

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Abstract

Automotive systems are currently undergoing a rapid evolution through the integration of the Internet of Things (IoT) and Software Defined Networking (SDN) technologies. The main focus of this evolution is to improve the driving experience, including automated controls, intelligent navigation and safety systems. Moreover, the extremely rapid pace that such technologies are brought into the vehicles, necessitates the presence of adequate testing of new features to avoid operational errors. Apart from testing though, IoT and SDN technologies also widen the threat landscape of cyber-security risks due to the amount of connectivity interfaces that are nowadays exposed in vehicles. In this paper we present a new method, based on OMNET++, for testing new in-vehicle features and assessing security risks through network simulation. The method is demonstrated through a case-study on a Toyota Prius, whose network data are analyzed for the detection of anomalies caused from security threats or operational errors.

Original languageEnglish
Title of host publication2019 15th IEEE International Workshop on Factory Communication Systems, WFCS 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)978-1-7281-1268-8
DOIs
Publication statusPublished - 1 May 2019
Event15th IEEE International Workshop on Factory Communication Systems, WFCS 2019 - Sundsvall, Sweden
Duration: 27 May 201929 May 2019

Conference

Conference15th IEEE International Workshop on Factory Communication Systems, WFCS 2019
CountrySweden
CitySundsvall
Period27/05/1929/05/19

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Keywords

  • Controller Area Network (CAN)
  • Model-based design
  • Network simulation
  • Security assessment

Cite this

Lekidis, A., & Barosan, I. (2019). Model-based simulation and threat analysis of in-vehicle networks. In 2019 15th IEEE International Workshop on Factory Communication Systems, WFCS 2019 [8757968] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WFCS.2019.8757968