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A novel framework for efficient mobility data verification in vehicular ad-hoc networks

: Jaeger, A.; Bißmeyer, N.; Stübing, H.; Huss, S.A.

Postprint urn:nbn:de:0011-n-2069874 (618 KByte PDF)
MD5 Fingerprint: 58517cd489bc261a5830cd0f2645f239
The original publication is available at
Erstellt am: 28.8.2012

International Journal of Intelligent Transportation Systems Research. Online journal 10 (2012), Nr.1, S.11-21
ISSN: 1868-8659
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer SIT ()
Car-to-X communication; mobility data verification; security; privacy; vehicle tracking

Most applications considered in Vehicular Ad-hoc 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 informati on from environmental sensors is integrated. To prove accuracy of our model, replaying of recorded traces and test drives were carried out.