Description

Book Synopsis
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.

Trade Review
The main goal of the project was the development of a more secure driving experience for the connected and automated vehicles and was built around four innovation pillars: the autonomous vehicle, the connected vehicle, the plug-in electrical vehicle and the remote control vehicle. The project, and hence the book, has delivered exceptional results with significant immediate or potential impact The project has achieved all of its objectives and milestones for the period and went much beyond the dissemination objectives. -- Project Manager

Table of Contents
  • 1. Introduction
  • 2. Autonomous Mobility
  • 3. V2X Connected Mobility
  • 4. Electromobility
  • 5. Remote Control Vehicle
  • Conclusions
  • Index

    Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles

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      £101.65

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      RRP £10,700.00 – you save £10,598.35 (99%)

      Order before 4pm tomorrow for delivery by Sat 4 Jul 2026.

      A Hardback by Jordi Guijarro, Saber Mhiri, You-Jun Choi

        Trusted by thousands of customers. See 2,385+ Customer Reviews

        View other formats and editions of Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles by Jordi Guijarro

        Publisher: now publishers Inc
        Publication Date: 31/12/2022
        ISBN13: 9781638280606, 978-1638280606
        ISBN10: 1638280606

        Description

        Book Synopsis
        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.

        Trade Review
        The main goal of the project was the development of a more secure driving experience for the connected and automated vehicles and was built around four innovation pillars: the autonomous vehicle, the connected vehicle, the plug-in electrical vehicle and the remote control vehicle. The project, and hence the book, has delivered exceptional results with significant immediate or potential impact The project has achieved all of its objectives and milestones for the period and went much beyond the dissemination objectives. -- Project Manager

        Table of Contents
        • 1. Introduction
        • 2. Autonomous Mobility
        • 3. V2X Connected Mobility
        • 4. Electromobility
        • 5. Remote Control Vehicle
        • Conclusions
        • Index

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