Adoption deep learning approach using realistic synthetic data for enhancing network intrusion detection in intelligent vehicle systems

In the dynamic field of cybersecurity within intelligent vehicle systems, the sophistication of threats necessitates continual advancements in security technologies. Traditional Network Intrusion Detection Systems (NIDS) often fall short in detecting emerging and sophisticated intrusion methods...

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Bibliographic Details
Main Authors: Said A. Salloum, Tarek Gaber, Mohammed Amin Almaiah, Rami Shehab, Romel Al-Ali, Theyazan H.H Aldahyani
Format: Article
Language:English
Published: Growing Science 2025-01-01
Series:International Journal of Data and Network Science
Online Access:http://www.growingscience.com/ijds/Vol9/ijdns_2024_190.pdf
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