The advancement in Autonomous Vehicles (AVs) has created an enormous market for the development of self-driving functionalities, raising the question of how it will transform the traditional vehicle development process. One adventurous proposal is to open the AV platform to third-party developers, so that AV functionalities can be developed in a crowd-sourcing way, which could provide tangible benefits to both automakers and end users. Some pioneering companies in the automotive industry have made the move to open the platform so that developers are allowed to test their code on the road. Such openness, however, brings serious security and safety issues by allowing untrusted code to run on the vehicle. In this paper, we introduce the concept of an Appified AV platform that opens the development framework to third-party developers. To further address the safety challenges, we propose an enhanced appified AV design schema called AVGUARD, which focuses primarily on mitigating the threats brought about by untrusted code, leveraging theory in the vehicle evaluation field, and conducting program analysis techniques in the cyber security area. Our study provides guidelines and suggested practice for the future design of open AV platforms.


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    Titel :

    Towards secure and safe appified automated vehicles


    Beteiligte:
    Jia, Yunhan Jack (Autor:in) / Zhao, Ding (Autor:in) / Chen, Qi Alfred (Autor:in) / Mao, Z. Morley (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    1670909 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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