@Article{cmes.2021.013289,
AUTHOR = {Yousheng Zhou, Lvjun Chen, Xiaofeng Zhao, Zheng Yang},
TITLE = {An Anonymous Authentication Scheme with Controllable Linkability for Vehicle Sensor Networks},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {125},
YEAR = {2020},
NUMBER = {3},
PAGES = {1101--1118},
URL = {http://www.techscience.com/CMES/v125n3/40808},
ISSN = {1526-1506},
ABSTRACT = {Vehicle sensor networks (VSN) play an increasingly important part
in smart city, due to the interconnectivity of the infrastructure. However
similar to other wireless communications, vehicle sensor networks are susceptible to a broad range of attacks. In addition to ensuring security for
both data-at-rest and data-in-transit, it is essential to preserve the privacy
of data and users in vehicle sensor networks. Many existing authentication
schemes for vehicle sensor networks are generally not designed to also preserve
the privacy between the user and service provider (e.g., mining user data to
provide personalized services without infringing on user privacy). Controllable linkability can be used to facilitate an involved entity with the right
linking key to determine whether two messages were generated by the same
sender, while preserving the anonymity of the signer. Such a functionality is
very useful to provide personalized services. Thus, in this paper, a threshold
authentication scheme with anonymity and controllable linkability for vehicle
sensor networks is constructed, and its security is analyzed under the random
oracle model.},
DOI = {10.32604/cmes.2021.013289}
}