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Digital Twin for Intrusion Detection in Vehicle CAN Bus

Researchers developed an intrusion detection system based on a digital twin that models physical relationships among vehicle powertrain signals. Using a shared-encoder LSTM trained on real CAN logs, the system detects attacks that manipulate data by analyzing residuals between predicted and observed values.

Why it matters

This enhances the security of automotive networks, which is important for managing complex technical systems in real time.

Original headline
Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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