Most applications considered in Vehicular Adhoc Networks (VANETs) base their calculations on the location of vehicle and roadside units. Therefore, the trustworthiness of this data is essential in Intelligent Transport System (ITS) and can be addressed by digitally signing sent location information. However, we have to assume that an attacker is able to get valid secret keys and she or he thus may send authenticated messages with faked mobility information. In this work we therefore do not rely on encryption techniques only. Instead, we propose a novel framework for verifying mobility data, which aims at detecting messages representing non-plausible movement behaviour. A Kalman filter is exploited to detect malicious behaviour based on past vehicle movements. Regular changes of vehicle identifiers in the communication range due to privacy protection are made transparent in the mobility data verification framework. In order to enhance the framework, additional information from environmental sensors is integrated. To prove accuracy of our model, replaying of recorded traces and test drives were carried out.

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