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    Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles

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    Author(s)
    Guijarro, Jordi
    Mhiri, Saber
    CHOI, YOU-JUN
    Language
    English
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    Abstract
    The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors’ firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles. CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions.
    URI
    https://library.oapen.org/handle/20.500.12657/60494
    Keywords
    Cybersecurity, Connected Vehicles, Automated Vehicles, Artificial Intelligence
    DOI
    10.1561/9781638280613
    ISBN
    9781638280606, 9781638280613
    Publisher
    Now Publishers
    Publication date and place
    2022
    Series
    NowOpen,
    Classification
    Computer security
    Pages
    158
    Rights
    https://creativecommons.org/licenses/by-nc/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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