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DAIRE AI model offers real-time detection of vehicle network attacks

By PulseAugur Editorial · [1 sources] ·

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

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.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DAIRE AI model offers real-time detection of vehicle network attacks

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156 days old
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    DAIRE: A lightweight AI model for real-time detection of Controller Area Network attacks in the Internet of Vehicles

    The Internet of Vehicles (IoV) is advancing modern transportation by improving safety, efficiency, and intelligence. However, the reliance on the Controller Area Network (CAN) introduces critical security risks, as CAN-based communication is highly vulnerable to cyberattacks. Add…

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