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  4. SEPAD - Security Evaluation Platform for Autonomous Driving
 
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2020
Conference Paper
Title

SEPAD - Security Evaluation Platform for Autonomous Driving

Abstract
The development and evaluation of security solutions for autonomous vehicles is a challenging task. Many researchers have no access to real vehicles to implement and test their solutions. In addition, vehicle E/E architectures of different brands or even model series of one car manufacturer differ significantly. Also, vehicles maybe the source of physical hazards, e.g., an exploding airbag. To enable researchers to develop, implement, and evaluate new security solutions for autonomous vehicles, we propose a new security evaluation platform called SEPAD and a dedicated development process for testing security mechanisms with it. SEPAD allows to model realistic E/E architectures where the developed security solutions can be integrated and evaluated without causing safety risks for the researcher or other road users.
Author(s)
Zelle, Daniel  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Rieke, Roland  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Plappert, Christian  orcid-logo
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Krauß, Christoph
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Levshun, Dmitry
SPIIRAS, St. Petersburg, Russia
Chechulin, Andrey
SPIIRAS, St. Petersburg, Russia
Mainwork
28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2020. Proceedings  
Project(s)
VITAF
RFBR
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
International Conference on Parallel, Distributed and Network-Based Processing (PDP) 2020  
DOI
10.1109/PDP50117.2020.00070
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • security

  • Autonomous Vehicles

  • protocols

  • computer architecture

  • automotive engineering

  • sensors

  • Automobiles

  • automotive security

  • Evaluation Platform

  • autonomous driving

  • intrusion detection

  • trusted computing

  • secure in-vehicle protocols

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