A hybrid trust model based on communication and social trust for vehicular social networks. (May 2022)

• Record Type: Journal Article
• Authors: Fan, Na; Shen, Shuai; Wu, Chase Q; Yao, Junfeng
• Is Part Of: International journal of distributed sensor networks. Volume 18:Number 5(2022)
• Publication Date: 2022-05
• Subjects: Vehicular social networks -- hybrid trust model -- communication trust -- social characteristics -- social trust; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/15501329221097588
• Languages: English
• ISSNs: 1550-1329

Abstract

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.