REACT: Autonomous Intrusion Response System for Intelligent Vehicles

• URL: http://arxiv.org/abs/2401.04792v2
• Date: Tue, 16 Jan 2024 22:57:05 GMT
• Title: REACT: Autonomous Intrusion Response System for Intelligent Vehicles
• Authors: Mohammad Hamad, Andreas Finkenzeller, Michael Kühr, Andrew Roberts, Olaf Maennel, Vassilis Prevelakis, Sebastian Steinhorst,
• Abstract summary: This paper proposes a dynamic intrusion response system integrated within the vehicle. The system offers a comprehensive list of potential responses, a methodology for response evaluation, and various response selection methods. The evaluation highlights the system's adaptability, its ability to respond swiftly, its minimal memory footprint, and its capacity for dynamic system parameter adjustments.
• Score: 1.5862483908050367
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Autonomous and connected vehicles are rapidly evolving, integrating numerous technologies and software. This progress, however, has made them appealing targets for cybersecurity attacks. As the risk of cyber threats escalates with this advancement, the focus is shifting from solely preventing these attacks to also mitigating their impact. Current solutions rely on vehicle security operation centers, where attack information is analyzed before deciding on a response strategy. However, this process can be time-consuming and faces scalability challenges, along with other issues stemming from vehicle connectivity. This paper proposes a dynamic intrusion response system integrated within the vehicle. This system enables the vehicle to respond to a variety of incidents almost instantly, thereby reducing the need for interaction with the vehicle security operation center. The system offers a comprehensive list of potential responses, a methodology for response evaluation, and various response selection methods. The proposed solution was implemented on an embedded platform. Two distinct cyberattack use cases served as the basis for evaluating the system. The evaluation highlights the system's adaptability, its ability to respond swiftly, its minimal memory footprint, and its capacity for dynamic system parameter adjustments. The proposed solution underscores the necessity and feasibility of incorporating dynamic response mechanisms in smart vehicles. This is a crucial factor in ensuring the safety and resilience of future smart mobility.

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