An authentication and plausibility model for big data analytic under LOS and NLOS conditions in 5G-VANET

• Main Authors: Soleymani, S. A., Anisi, M. H., Abdullah, A. Hanan, Ngadi, M. Asri, Goudarzi, Sh., Khan, M. Khurram, Kama, M. Nazri
• Format: Article
• Published: Springer-Verlag GmbH Germany 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/93594/; http://dx.doi.org/10.1007/s11432-019-2835-4
• Institution: Universiti Teknologi Malaysia

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...