In-Vehicle Digital Twin-Based Collision Warning Framework with Sybil Attack Detection
Connected Vehicles (CVs) rely extensively on communication technologies to enable data-driven predictive analyses for enhancing performance and safety. These communication channels can be exploited by adversaries to launch cyberattacks such as Sybil attacks, which could threaten both safety-critical and mobility applications, leaving CVs vulnerable and putting human lives at risk. As CV deployment continues to expand, the need to detect and mitigate cyberattacks in real-time becomes increasingly urgent. This study presents an in-vehicle Digital Twin (DT)-based collision warning framework with built-in capabilities for Sybil attacks detection. The framework integrates a Temporal Convolutio...
| Authors | Mohammad Imtiaz Hasan, Abyad Enan, Jean Michel Tine et al. |
|---|---|
| Primary category | cs.CR |
| Published | 26 June 2026 |
| Last updated at source | 26 June 2026 |
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