TY - JOUR
T1 - A hybrid trust model based on communication and social trust for vehicular social networks
AU - Fan, Na
AU - Shen, Shuai
AU - Wu, Chase Q.
AU - Yao, Junfeng
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported by the Funding of Selected Science and Technology Projects of Oversea Scholars from Shaanxi Province (grant no. 2017023), the Fundamental Research Funds for the Central Universities (grant no. 300102240401), and the Shaanxi Provincial Key Scientific and Technological Project (grant no. 2020ZDLGY09-02).
Publisher Copyright:
© The Author(s) 2022.
PY - 2022/5
Y1 - 2022/5
N2 - Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers. Since vehicle behaviors are controlled or influenced by drivers, the trustworthiness of a vehicle node is essentially determined by its own communication behaviors and its driver’s social characteristics. Therefore, human factors should be considered in securing the communication in vehicular social networks. In this article, we propose a hybrid trust model that considers both communication trust and social trust. Within the proposed scheme, we first construct a communication trust model to quantify the trust value based on the interactions between vehicle nodes, and then develop a social trust model to measure the social trust based on the social characteristics of vehicle drivers. Based on these two trust models, we compute the combined trust assessment of a vehicle node in vehicular social networks. Extensive simulations show that the proposed hybrid trust model improves the accuracy in evaluating the trustworthiness of vehicle nodes and the efficiency of communication in vehicular social networks.
AB - Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers. Since vehicle behaviors are controlled or influenced by drivers, the trustworthiness of a vehicle node is essentially determined by its own communication behaviors and its driver’s social characteristics. Therefore, human factors should be considered in securing the communication in vehicular social networks. In this article, we propose a hybrid trust model that considers both communication trust and social trust. Within the proposed scheme, we first construct a communication trust model to quantify the trust value based on the interactions between vehicle nodes, and then develop a social trust model to measure the social trust based on the social characteristics of vehicle drivers. Based on these two trust models, we compute the combined trust assessment of a vehicle node in vehicular social networks. Extensive simulations show that the proposed hybrid trust model improves the accuracy in evaluating the trustworthiness of vehicle nodes and the efficiency of communication in vehicular social networks.
KW - Vehicular social networks
KW - communication trust
KW - hybrid trust model
KW - social characteristics
KW - social trust
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U2 - 10.1177/15501329221097588
DO - 10.1177/15501329221097588
M3 - Article
AN - SCOPUS:85130261910
SN - 1550-1329
VL - 18
JO - International Journal of Distributed Sensor Networks
JF - International Journal of Distributed Sensor Networks
IS - 5
ER -