arXiv:2512.15503v3 Announce Type: replace-cross Abstract: Vehicular platooning promises transformative improvements in transportation efficiency and safety through the coordination of multi-vehicle formations enabled by Vehicle-to-Everything (V2X) communication. However, the distributed nature of platoon coordination creates security vulnerabilities, allowing authenticated vehicles to inject falsified kinematic data, compromise operational stability, and pose a threat to passenger safety. Traditional misbehaviour detection approaches, which rely on plausibility checks and statistical methods,
The increasing sophistication of AI for V2X communication necessitates equally advanced security measures to counter potential exploits that could compromise safety and efficiency in future transportation systems.
Ensuring the security and integrity of autonomous vehicle platooning is crucial for its widespread adoption and for preventing catastrophic failures in interconnected transportation networks.
The deployment of AI-powered detection systems will shift the paradigm for securing V2X communication, moving beyond traditional statistical methods to more adaptive and predictive models.
- · Autonomous vehicle manufacturers
- · Cybersecurity firms
- · AI/ML developers
- · Smart city infrastructure providers
- · Malicious actors
- · Legacy misbehavior detection systems
- · Companies relying solely on traditional security protocols
Wider deployment of secure platooning technologies leads to increased efficiency and safety in road transportation.
Enhanced trust in autonomous systems accelerates the development and integration of AI across other critical infrastructure sectors.
The proven success of transformer-based security models in V2X could inspire similar advanced threat detection systems in other highly interconnected and distributed networks.
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Read at arXiv cs.AI