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Assessment of node trustworthiness in VANETs using data plausibility checks with particle filters

 
: Bißmeyer, Norbert; Mauthofer, Sebastian; Bayarou, Kpatcha M.; Kargl, Frank

:
Postprint urn:nbn:de:0011-n-2256719 (359 KByte PDF)
MD5 Fingerprint: 81eb83b52d3aed9d95c05777a95e44b9
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 31.1.2013


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Vehicular Networking Conference, VNC 2012 : 14-16 November 2012 in Seoul, Korea
New York, NY: IEEE, 2012
ISBN: 978-1-4673-4995-6 (Print)
ISBN: 978-1-4673-4994-9 (Online)
ISBN: 978-1-4673-4996-3
S.78-85
Vehicular Networking Conference (VNC) <2012, Seoul>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer SIT ()
Car-to-X communication; mobility data verification; security; privacy; vehicle tracking; VANET

Abstract
In Vehicular Ad-Hoc Networks (VANETs), the exchange of location data (i.e. absolute position, heading, time) for traffic safety applications plays an important role. The trustworthiness of this information is crucial as false data affects applications heavily and might endanger human lives. Beside cryptographic solutions that ensure sender authenticity and message integrity, the data plausibility check is an important mechanism to ensure positional reliability. In this paper, we show that a particle filter is an appropriate instrument to perform plausibility checks in order to assess the trustworthiness of neighbor nodes. Our approach allows the aggregation of information from different data sources directly in one particle filter per neighbor. Thus, dependencies and relationships between individual sources can be fully accounted for and the framework is easily extensible and scales well. The concept is implemented as a Java-OSGi bundle for a field operational test framework and evaluated using both manually generated traces and recorded data from real vehicle trips. We show that the detection of several types of location-based attacks is possible under consideration of errors and system inherent deviations in sensor data.

: http://publica.fraunhofer.de/dokumente/N-225671.html