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September 24, 2025World Electric Vehicle JournalOpen Access

Correction: Kousar et al. A Deep Learning Approach for Real-Time Intrusion Mitigation in Automotive Controller Area Networks. World Electr. Veh. J. 2025, 16, 492

Anila Kousar Saeed Ahmed Zafar A. Khan

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Key Points

Real-time intrusion mitigation was achieved, enhancing cybersecurity in automotive networks.
This innovative approach utilizes deep learning algorithms to detect and prevent potential threats.
The application of this technology in controller area networks shows promise for future automotive cybersecurity.
Results indicate significant improvement in response time against cyber threats in connected vehicles.

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Implication

This research demonstrates real-time intrusion mitigation in automotive networks, highlighting advancements in cybersecurity.

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Cite This Study

Kousar et al. (2025) studied this question.

synapsesocial.com/papers/68d6cd68b1249cec298b3b78 https://doi.org/10.3390/wevj16100549

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