Researchers have developed DAIRE, a lightweight AI model designed to detect and classify cyberattacks on the Controller Area Network (CAN) within the Internet of Vehicles (IoV). This framework utilizes a specialized artificial neural network (ANN) architecture optimized for real-time performance and reduced computational load. DAIRE demonstrated high effectiveness in experiments, achieving a 99.88% detection rate and 99.96% accuracy on benchmark datasets, with a classification time of only 0.03 ms per sample. AI
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IMPACT Enhances automotive cybersecurity by providing a fast and accurate method for detecting vehicle network attacks.
RANK_REASON This is a research paper describing a new AI model for a specific application.