| Autor: |
Zeyad Ghaleb Al-Mekhlafi, Saima Anwar Lashari, Jalal Mohammed Hachim Altmemi, Mahmood A. Al-Shareeda, Badiea Abdulkarem Mohammed, Amer A. Sallam, Bassam Ali Al-Qatab, Mohammad T. Alshammari, Abdulaziz M. Alayba |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 12, Pp 100152-100166 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3429179 |
| Popis: |
The fast development of vehicle technology and the appearance of 5G networks have brought new opportunities as well as challenges for vehicular fog computing. On the one hand, these advances would bring a safer, more efficient, and comfortable car onto our roads; but on the other, they open up huge security and privacy vulnerabilities. Current solutions typically offer inadequate security coverage, rendering vehicular networks susceptible to diverse attacks. We present a first holistic solution that combines entity authentication with privacy preservation in 5G-enabled vehicular fog computing. A novel feature obfuscation involves the vehicle request messages at an early stage and employs advanced cryptographic methods, rendering any potential attacks much more challenging while preventing even a Trusted Authority (TA) from inferring their underlying purpose. This scheme not only maximizes request communication, reduces interaction and computational overhead but also lessens the dependency on TA thus making it more scalable as well as resilient. Theoretical and simulation results show the merits of this protocol in reducing verification latency, and packet loss rate along with computation overheads as well as communication overhead. Experimental results demonstrate the effectiveness of our proposed protocol against existing approaches to provide privacy and security for vehicular communications. The work thus adds to the body of knowledge taking vehicular communication in 5G capable networks a step forward enhancing secured and efficient operation ensuring more secure roads that deliver their contextual alerts setting new standards for safety levels within any existing vehicular network as well. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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