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Cyber-security of connected vehicles : contributions to enhance the risk analysis and security of in-vehicle communications

Abstract : During the last decade, technological advances have made the car more and more connected to the outside world. On the flip side, thistechnological transformation has made modern vehicles subject to advanced cyber attacks. The cyber-physical architectures of automotive systems were not designed with security in mind. With the integration of connected platforms into these cyberphysical systems, the threat landscape has radically changed. Lately, multiple security breaches targeting different car manufacturers have been reported mainly by the scientific community. This makes security a critical concern, with a high impact especially on future autonomous driving. In order to address this gap, rigorous security engineering needs to be integrated into the design process of an automotive system and new protection methods adapted to the specificities of the vehicle systems must be introduced. Threat modeling and risk analysis are essential building blocks of this process. In this context, attack trees proved to be a reasonably good way to model attack steps. Nevertheless, given the diversity of architectures, it can quickly become a burden to draw attack trees for all architectures. This thesis tackles the issues of security of connected vehicles. The proposed approach allows enhancing the threat analysis with the automated generation of attack tree used to assist in the risk assessment step. We also propose novel and efficient protection mechanisms for in-vehicle communication networks capable of coping with existing cyber-physical attacks.
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Submitted on : Wednesday, September 23, 2020 - 4:01:20 PM
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  • HAL Id : tel-02947030, version 1

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Khaled Karray. Cyber-security of connected vehicles : contributions to enhance the risk analysis and security of in-vehicle communications. Cryptography and Security [cs.CR]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLT023⟩. ⟨tel-02947030⟩

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