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Hierarchical Hybrid Trust Management Scheme in SDN-Enabled VANETs - 2021

Hierarchical Hybrid Trust Management Scheme in SDN-Enabled VANETs

Research Area:  Vehicular Ad Hoc Networks

Abstract:

One of the principal missions of security in the Internet of Vehicles (IoV) is to establish credible social relationships. The trust management system has been proved to be an effective security solution in a connected vehicle environment. The use of trust management can play a significant role in achieving reliable data collection and dissemination and enhanced user security in the Internet of Vehicles. However, due to a large number of vehicles, the limited computing power of individuals, and the highly dynamic nature of the network, a universal and flexible architecture is required to realize the trust of vehicles in a dynamic environment. The existing solutions for trust management cannot be directly applied to the Internet of Vehicles. To ensure the safe transmission of data between vehicles and overcome the problems of high communication delay and low recognition rate of malicious nodes in the current trust management scheme, an efficient flow forwarding mechanism of the RSU close to the controller in the Software-Defined Vehicular Network is used to establish a hierarchical hybrid trust management architecture. This method evaluates the dynamic trust change of vehicle behavior based on the trust between vehicles and the auxiliary trust management of the infrastructure to the vehicle, combined with static and dynamic information and other indicators. The proposed trust management scheme is superior to the comparative schemes in resisting simple attacks, selective misbehavior attacks, and time-dependent attacks under the condition of ensuring superior real-time performance. Its overall accuracy is higher than that of the baseline scheme.

Keywords:  

Author(s) Name:  Ming Mao ,Peng Yi, Tao Hu, Zhen Zhang, Xiangyu Lu,and Jingwei Lei

Journal name:  Mobile Information Systems

Conferrence name:  

Publisher name:  HINDAWI

DOI:  10.1155/2021/7611619

Volume Information: