Decision Making in Internet of Vehicles Using Pervasive Trusted Computing Scheme

作     者：Geetanjali Rathee Razi Iqbal Adel Khelifi 

作者机构：Department of Computer Science and EngineeringJaypee University of Information TechnologyWaknaghatSolan173234Himachal PradeshIndia Department of Computer Information SystemsUniversity of Fraser ValleyCanada Department of Computer Science and ITAbu Dhabi UniversityUnited Arab EmiratesUAE 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第68卷第8期

页      面：2755-2769页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：funded by the Abu Dhabi University Faculty Research Incentive Grant(19300483–Adel Khelifi) United Arab Emirates.Link to Sponsor website:https://www.adu.ac.ae/research/research-at-adu/overview 

主　　题：Pervasive computing vehicular networks security trust decision schemes trusted internet of vehicles big data 

摘      要：Pervasive schemes are the significant techniques that allow intelligent communication among the devices without any human *** Internet of Vehicles(IoVs)has been introduced as one of the applications of pervasive computing that addresses the road safety *** participating within the IoV are embedded with a wide range of sensors which operate in a real time environment to improve the road safety *** mechanisms have been proposed which allow automatic actions based on uncertainty of sensory and managed *** to the lack of existing transportation integration schemes,IoV has not been completely explored by business *** order to tackle this problem,we have proposed a novel trusted mechanism in IoV during communication,sensing,and record *** proposed method uses trust based analysis and subjective logic functions with the aim of creating a trust environment for vehicles to *** addition,the subjective logic function is integrated with multi-attribute SAW scheme to improve the decision metrics of authenticating *** trust analysis depends on a variety of metrics to ensure an accurate identification of legitimate vehicles embedded with IoT devices *** proposed scheme is determined and verified rigorously through various IoT devices and decision making metrics against a baseline *** simulation results show that the proposed scheme leads to 88%improvement in terms of better identification of legitimate nodes,road accidents and message alteration records during data transmission among vehicles as compared to the baseline approach.