Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Intrusion detection in VANETs through verification of vehicle movement data

 
: Bißmeyer, N.; Stresing, C.; Bayarou, K.M.

:
Postprint urn:nbn:de:0011-n-1734077 (992 KByte PDF)
MD5 Fingerprint: 6ea6dccb2e480e60e1ea585f86ed9ae4
© 2010 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: 28.4.2012


Vehicular Networking Conference, VNC 2010 : 13-15 Dec. 2010, Jersey City
Piscataway, NJ: IEEE, 2010
ISBN: 978-1-4244-9526-9
S.166-173
Vehicular Networking Conference (VNC) <2010, Jersey City>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer SIT ()

Abstract
Many Intrusion Detection approaches for Vehicular ad hoc networks (VANETs) are proposed. However, not moving fake vehicles and vehicles with a plausible mobility model are not considered in other approaches. In this paper we propose an innovative signature based intrusion detection method that verifies vehicle movement data by applying a plausibility model. With our approach a single fake vehicle can be identified based on the plausibility model even if it simulates an autonomously valid movement. The results from the intrusion detection can be used to detect on the one hand road side attackers simulating faked traffic congestions and on the other hand attackers that try to deny real congestions by inserting moving vehicles into the network.

: http://publica.fraunhofer.de/dokumente/N-173407.html