Security-Aware Mapping for CAN-Based Real-Time Distributed Automotive Systems
Chung-Wei Lin, Qi Zhu, Calvin Phung, Alberto Sangiovanni-Vincentelli

Citation
Chung-Wei Lin, Qi Zhu, Calvin Phung, Alberto Sangiovanni-Vincentelli. "Security-Aware Mapping for CAN-Based Real-Time Distributed Automotive Systems". Talk or presentation, 5, November, 2013; Poster presented at the 2013 TerraSwarm Annual Meeting.

Abstract
Cyber-security is a rising issue for automotive electronic systems, and it is critical to system safety and dependability. Current in-vehicles architectures, such as those based on the Controller Area Network (CAN), do not provide direct support for secure communications. When retrofitting these architectures with security mechanisms, a major challenge is to ensure that system safety will not be hindered, given the limited computation and communication resources. We apply Message Authentication Codes (MACs) to protect against masquerade and replay attacks on CAN networks, and propose an optimal Mixed Integer Linear Programming (MILP) formulation for solving the mapping problem from a functional model to the CAN-based platform while meeting both the security and the safety requirements. We also develop an efficient heuristic for the mapping problem under security and safety constraints. To the best of our knowledge, this is the first work to address security and safety in an integrated formulation in the design automation of automotive electronic systems. Experimental results of an industrial case study show the effectiveness of our approach.

Electronic downloads


Internal. This publication has been marked by the author for TerraSwarm-only distribution, so electronic downloads are not available without logging in.
Citation formats  
  • HTML
    Chung-Wei Lin, Qi Zhu, Calvin Phung, Alberto
    Sangiovanni-Vincentelli. <a
    href="http://www.terraswarm.org/pubs/157.html"><i>Security-Aware
    Mapping for CAN-Based Real-Time Distributed Automotive
    Systems</i></a>, Talk or presentation,  5,
    November, 2013; Poster presented at the <a
    href="http://www.terraswarm.org/conferences/13/annual"
    >2013 TerraSwarm Annual Meeting</a>.
  • Plain text
    Chung-Wei Lin, Qi Zhu, Calvin Phung, Alberto
    Sangiovanni-Vincentelli. "Security-Aware Mapping for
    CAN-Based Real-Time Distributed Automotive Systems".
    Talk or presentation,  5, November, 2013; Poster presented
    at the <a
    href="http://www.terraswarm.org/conferences/13/annual"
    >2013 TerraSwarm Annual Meeting</a>.
  • BibTeX
    @presentation{LinZhuPhungSangiovanniVincentelli13_SecurityAwareMappingForCANBasedRealTimeDistributed,
        author = {Chung-Wei Lin and Qi Zhu and Calvin Phung and
                  Alberto Sangiovanni-Vincentelli},
        title = {Security-Aware Mapping for CAN-Based Real-Time
                  Distributed Automotive Systems},
        day = {5},
        month = {November},
        year = {2013},
        note = {Poster presented at the <a
                  href="http://www.terraswarm.org/conferences/13/annual"
                  >2013 TerraSwarm Annual Meeting</a>.},
        abstract = {Cyber-security is a rising issue for automotive
                  electronic systems, and it is critical to system
                  safety and dependability. Current in-vehicles
                  architectures, such as those based on the
                  Controller Area Network (CAN), do not provide
                  direct support for secure communications. When
                  retrofitting these architectures with security
                  mechanisms, a major challenge is to ensure that
                  system safety will not be hindered, given the
                  limited computation and communication resources.
                  We apply Message Authentication Codes (MACs) to
                  protect against masquerade and replay attacks on
                  CAN networks, and propose an optimal Mixed Integer
                  Linear Programming (MILP) formulation for solving
                  the mapping problem from a functional model to the
                  CAN-based platform while meeting both the security
                  and the safety requirements. We also develop an
                  efficient heuristic for the mapping problem under
                  security and safety constraints. To the best of
                  our knowledge, this is the first work to address
                  security and safety in an integrated formulation
                  in the design automation of automotive electronic
                  systems. Experimental results of an industrial
                  case study show the effectiveness of our approach.},
        URL = {http://terraswarm.org/pubs/157.html}
    }
    

Posted by Chung-Wei Lin on 1 Nov 2013.

Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.