A Trust Model for Intervehicular Communication Based on Belief Theory. Bamberger, W., Schlittenlacher, J., & Diepold, K. In Social Computing (SocialCom), 2010 IEEE Second International Conference on, pages 73-80, 2010. IEEE Computer Society. Best SocialCom Conference Paper Award
A Trust Model for Intervehicular Communication Based on Belief Theory [link]Paper  doi  abstract   bibtex   8 downloads  
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.
@inproceedings{Bamberger2010,
	author = {Walter Bamberger and Josef Schlittenlacher and Klaus Diepold},
	title = {A Trust Model for Intervehicular Communication Based on Belief Theory},
	booktitle = {Social Computing (SocialCom), 2010 IEEE Second International Conference
	on},
	year = {2010},
	pages = {73-80},
	publisher = {IEEE Computer Society},
	note = {Best SocialCom Conference Paper Award},
	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.},
	doi = {10.1109/SocialCom.2010.20},
	keywords = {V2X, sumo, Technische Universit�t M�nchen, Fidens, automobiles, road
	traffic, security of data, telecommunication security, belief theory,
	cars, driving pattern, vehicular network, social structure, trust
	model},
	url = {http://mediatum.ub.tum.de/node?id=997457}
}

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