NDLI: A Trust Model for Intervehicular Communication Based on Belief Theory

Content Provider	IEEE Xplore Digital Library
Author	Bamberger, W. Schlittenlacher, J. Diepold, K.
Copyright Year	2010
Abstract	Vehicles will exchange much information in the future in order to efficiently maintain their inner model of the environment. Before they can belief received pieces of information, they must evaluate their reliability. Trust is a mechanism to estimate this reliability based on the sender. As cars often drive the same route, they meet each other again and again. They can establish friendship-like relations and thus are embedded in a social structure. A trust model depends on this social structure. For this reason, we simulate the driving pattern of a small town. Within this simulation, all cars are equipped with a trust model that continuously monitors the experiences made with others. The developed model focuses on direct experiences of the individual and not on a system-wide reputation which would depend on a central unit. It continuously evaluates the performance and reputation of other cars and includes a feedback loop to faster adapt to changes in the other's behaviour. To make a decision out of the collected data, the model uses the capacity of the binary error and erasure channel from information theory. This capacity provides a better decision criterion than the traditional expectation value. The proposed trust model is an individual-level model; nonetheless it can be connected to a system-wide reputation mechanism.
Starting Page	73
Ending Page	80
File Size	426883
Page Count	8
File Format	PDF
ISBN	9781424484393
DOI	10.1109/SocialCom.2010.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicular ad hoc network Uncertainty Adaptation model Social structure Traffic Predictive models Probabilistic logic Security Trust Belief theory Data models Reputation Reliability Information theory
Content Type	Text
Resource Type	Article

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