A theoretical framework for trust management in vehicular ad hoc networks
by Jared Oluoch
International Journal of Trust Management in Computing and Communications (IJTMCC), Vol. 3, No. 2, 2015

Abstract: We present a theoretical framework that provides a logical structure for information collection, information analysis, and decision making in a vehicular ad hoc network (VANET) environment. Our framework begins by describing a threat model. Then we introduce mechanisms for excluding malicious vehicles and messages from corrupting the system. We introduce a set of algorithms to build a reference list from the crowd based on ground truths. Vehicles compare messages received from multiple agents against a reference list stored in the road side unit (RSU). As a complement, vehicles that are not in proximity to RSUs aggregate opinion from neighbouring vehicles to establish the trustworthiness of a message. A vehicle makes a decision on received messages upon cross validation, and forms a posterior belief about an agent. We apply conditional probability to check for the accuracy of messages. Our framework is dynamic and scalable in that the reference list periodically updates itself to account for elapsed time and frequently changing road conditions. The framework provides a universal template for modelling trust management in VANET.

Online publication date: Wed, 08-Jun-2016

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 Trust Management in Computing and Communications (IJTMCC):
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