An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks
AbstractVehicle sensor networks (VSNs) are ushering in a promising future by enabling more intelligent transportation systems and providing a more efficient driving experience. However, because of their inherent openness, VSNs are subject to a large number of potential security threats. Although various authentication schemes have been proposed for addressing security problems, they are not suitable for VSN applications because of their high computation and communication costs. Chuang and Lee have developed a trust-extended authentication mechanism (TEAM) for vehicle-to-vehicle communication using a transitive trust relationship, which they claim can resist various attacks. However, it fails to counter internal attacks because of the utilization of a shared secret key. In this paper, to eliminate the vulnerability of TEAM, an enhanced privacy-preserving authentication scheme for VSNs is constructed. The security of our proposed scheme is proven under the random oracle model based on the assumption of the computational Diffie–Hellman problem. View Full-Text
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Zhou, Y.; Zhao, X.; Jiang, Y.; Shang, F.; Deng, S.; Wang, X. An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks. Sensors 2017, 17, 2854.
Zhou Y, Zhao X, Jiang Y, Shang F, Deng S, Wang X. An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks. Sensors. 2017; 17(12):2854.Chicago/Turabian Style
Zhou, Yousheng; Zhao, Xiaofeng; Jiang, Yi; Shang, Fengjun; Deng, Shaojiang; Wang, Xiaojun. 2017. "An Enhanced Privacy-Preserving Authentication Scheme for Vehicle Sensor Networks." Sensors 17, no. 12: 2854.
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