ThreatGet: Threat modeling based approach for automated and connected vehicle systems

Christoph Schmittner, Sebastian Chlup, Andreas Fellner, Georg Macher, Eugen Brenner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Connected and automated vehicle systems need to consider a wider range of factors to ensure dependable systems. While Cyber Security is increasingly important for modern automotive systems, performance and safety is equally important. Recent events demonstrate weaknesses in current systems. Quality of life and our society depends to an high degree on trust and dependable mobility and transportation. Upcoming regulations and standards will therefore require a ongoing management of Cyber Security, Functional Safety and Safety of the Intended Functionality risks in the vehicle lifecycle. Risk management depends on identification of all risks. Due to the complexity of modern automotive systems traditional manual approaches of risk identification are challenging. We present here a model-based approach for automated risk identification by ThreatGet, a Enterprise Architect plugin developed by AIT. ThreatGet contains a formal description of potential weaknesses which can be applied to different automotive systems to identify applicable threats. In this way knowledge can be reused along multiple engineering projects.

Original languageEnglish
Title of host publicationAmE 2020
Subtitle of host publicationAutomotive meets Electronics - 11. GMM-Fachtagung
Number of pages3
ISBN (Electronic)9783800752034
ISBN (Print)978-3-8007-5202-7
Publication statusPublished - 10 Mar 2020
Event11th GMM Symposium Automotive meets Electronics: AmE 2020 - Dortmund, Germany
Duration: 10 Mar 202011 Mar 2020

Publication series

NameAmE 2020: Automotive meets Electronics - 11. GMM-Fachtagung


Conference11th GMM Symposium Automotive meets Electronics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Automotive Engineering

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