Ensuring Safety and Security in CAN-Based Automotive Embedded Systems: A Combination of Design Optimization and Secure Communication

Hyeran Mun, Kyusuk Han, Dong Hoon Lee

Research output: Contribution to journalArticle

Abstract

As automotive embedded systems comprised of electronic control units (ECUs) connected via a controller area network (CAN) have continued to develop, the volume of information these systems are required to handle has also rapidly increased. Cyber attacks targeting vulnerable points of automotive embedded systems in particular are on the rise to hinder normal operation of a vehicle. However, adding security mechanisms to defend against attacks cannot neglect timing requirements in terms of vehicle safety. This is because it may lead to a violation of automobile safety. In short, both sides of this issue must be addressed from the outset of the system design stage to provide optimal security and safety. As a response to this pressing issue, we propose a novel and efficient scheme. The design optimization during the system design phase not only ensures all the real-time applications are executed within their deadline but also reduces the number of transmitted messages over the CAN bus. After optimization, we apply a hash message authentication code (HMAC) to specific messages, providing secure communication between ECUs and protecting against cyber attacks. Security analysis and experimental results prove that the proposed scheme can counter attacks on the CAN bus while meeting timing requirements. Therefore, our proposed scheme is effective in satisfying improvement of both safety and security.

Original languageEnglish
Article number9076873
Pages (from-to)7078-7091
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number7
DOIs
Publication statusPublished - 2020 Jul

Keywords

  • authentication
  • controller area network (CAN)
  • electronic control unit (ECU)
  • In-vehicle network
  • optimization of task allocation
  • safety
  • security

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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