An authentication and plausibility model for big data analytic under LOS and NLOS conditions in 5G-VANET
The exchange of correct and reliable data among legitimate nodes is one of the most important challenges in vehicular ad hoc networks (VANETs). Malicious nodes and obstacles, by generating inaccurate information, have a negative impact on the security of 5G-VANET. The big data generated in the vehic...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer-Verlag GmbH Germany
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93594/ http://dx.doi.org/10.1007/s11432-019-2835-4 |
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| Institution: | Universiti Teknologi Malaysia |