Title: An attribute-based cross-domain trustworthy model for internet of vehicles

Authors: Wei Ou; Qin Yi; Jiao Hu; Dingwan Liu; Wei Liu; Wanqin Yan

Addresses: Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China ' Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China ' Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China ' Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China ' Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China ' Department of Electronic and Information Engineering, Hunan University of Science and Engineering, Yongzhou, 425199, China

Abstract: Internet of vehicles (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. In this paper, a multi-attributes-based cross-domain trustworthy model is proposed. Moreover, this model combines heuristic algorithm and takes the previous trust evaluation as an important reference content. Thus, accuracy of evaluation of trust relationship is improved and sensitivity of this algorithm on behaviours of nodes is enhanced. Furthermore, a construction algorithm of virtual organisation is proposed. It has good resistance to false transactions and defamation attacks, and can effectively curb behaviours of bad nodes. In addition, in environment of similar entity performance, this algorithm can effectively resist false transactions or defamation attacks of poorer entities. So it has better accuracy and security.

Keywords: IoV; internet of vehicles; multidimensional attributes; cross-domain; trust relationship; security strategy; virtual organisation.

DOI: 10.1504/IJAACS.2021.114273

International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.1/2, pp.4 - 27

Received: 30 Jan 2020
Accepted: 30 Mar 2020

Published online: 05 Apr 2021 *

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