Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles

Andreas Finkenzeller, Anshu Mathur, Jan Lauinger, Mohammad Hamad, Sebastian Steinhorst

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

3 Scopus citations

Abstract

With the ongoing efforts toward autonomous driving, modern vehicles become increasingly digital and smart. Hence, the vehicle architecture including smart sensors, ECUs, and in-vehicle communication also faces new challenges to satisfy the ever-changing safety and security requirements. The complexity of the system naturally exposes many attack surfaces that demand for sound security solutions to protect the vehicle from potential intrusions. State-of-the-art approaches such as intrusion detection and intrusion response systems require lots of training and testing against various attack scenarios. However, implementing such attacks in real environments is difficult, expensive, and involves many legal and safety considerations. With Simutack, we present an open-source attack simulation framework that is capable of generating realistic attack scenarios for comprehensive security testing in the automotive development process. The framework integrates several classes of attacks, for instance, smart sensor attacks, V2X attacks, and attacks targeting the in-vehicle networks, which are all among the most commonly exploited attack vectors. We evaluate three common attack scenarios that showcase the applicability and capabilities of our work. In each scenario, the generated attack data is processed and returned to the simulation to visualize the attack's effect on the vehicle and its environment. Furthermore, a custom autopilot application demonstrates the attack's impact on autonomous driving systems.

Original languageEnglish
Title of host publication2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350311143
DOIs
StatePublished - 2023
Event97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy
Duration: 20 Jun 202323 Jun 2023

Publication series

NameIEEE Vehicular Technology Conference
Volume2023-June
ISSN (Print)1550-2252

Conference

Conference97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Country/TerritoryItaly
CityFlorence
Period20/06/2323/06/23

Keywords

  • Attack Generation
  • Connected and Autonomous Vehicle Security
  • Security Framework
  • Simulation
  • V2X

Fingerprint

Dive into the research topics of 'Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles'. Together they form a unique fingerprint.

Cite this