An attribute-based cross-domain trustworthy model for internet of vehicles
by Wei Ou; Qin Yi; Jiao Hu; Dingwan Liu; Wei Liu; Wanqin Yan
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 14, No. 1/2, 2021

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.

Online publication date: Thu, 15-Apr-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomous and Adaptive Communications Systems (IJAACS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com