Improving security in 5G vehicular networks using ASCON and machine learning based NIDS

Abstract Improving security in 5G-enabled vehicular networks is critical to address the growing cyber threats targeting embedded systems within the Internet of Vehicles (IoV). The IoV significantly enhances vehicle safety, traffic flow management, collision avoidance, and urban transportation effici...

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Podrobná bibliografie

Hlavní autoři:	A. J. Bhuvaneshwari, P. Kaythry, Nivetha Elango, Rahul Ramu, S. Sai Eshwar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2025-10-01
Edice:	Discover Internet of Things
Témata:	Attacks Cybersecurity Lightweight cryptography Vehicular communication Voting classifier
On-line přístup:	https://doi.org/10.1007/s43926-025-00226-1
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!