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— Vehicular Communication (VC) systems are on the verge of practical deployment. Nonetheless, their security and privacy protection is one of the problems that have been tackled only recently. In order to show the feasibility of secure VC, implementations are required. In [8] we have discussed the design of a VC security system that has emerged as a result(More)
—Characteristics and requirements of vehicular ad hoc networks (VANETs) differ quite significantly compared to standard ad hoc networks. Especially trust in VANETs is very important but still open issue, which will be addressed in this paper. We will describe, discuss and assess approaches and concepts that were proposed in ordinary fixed networks and(More)
Previous research in mobile data management has been focused on scenarios where mobile clients replace fixed ones. However, not all potential application fields of mobile computing fit into this scenario. There exist scenarios where mobile clients will not replace but accompany fixed ones. In this paper we introduce a real world application scenario(More)
—Vehicular Ad-Hoc Networks (VANET) will help to improve traffic safety and efficiency. By exchanging information between each other, vehicles can warn drivers or even prepare for a dangerous situation, i.e. engage pre-crash functionalities like airbag preloading. The decision how to react on information received from other vehicles always has to be made(More)
—Communication using VANETs is commonly seen as the next milestone for improving traffic safety. Vehicles will be enabled to exchange any kind of information that helps to detect and mitigate dangerous situations. Security research in the past years has shown that VANETs are endangered by a plethora of severe security risk. Subject of this work is the(More)
The paper describes a mobile application for traffic telematics, based on the Jini middleware. The application is realized as a set of user-level services, characterized by following properties: The services should be proactive, i.e. they act on behalf of the user based on the user's preferences. Secondly, context information derived from floating car data(More)