DocumentCode
1675244
Title
AWF-NA: A Complete Solution for Tampered Packet Detection in VANETs
Author
Li, Zhengming ; Chigan, Chunxiao ; Wong, Danniel
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI
fYear
2008
Firstpage
1
Lastpage
6
Abstract
In vehicular ad hoc networks (VANETs), it is vital to ensure that tampered data packets, especially safety-related ones, are detected and stopped from further propagation. To this end, we propose a novel scheme, autonomous watchdog formation enabled by 2-hop neighborhood awareness (AWF-NA), to ensure nodes automatically functioning as watchdogs to monitor the behaviors of the relaying nodes. Unlike existing schemes [1-4], it aims to detect and react at each hop, and stop any tampered packet from further propagation in spite of dishonest watchdogs and relaying nodes. At each hop, the neighbors of the relaying node and the receiver node autonomously select eligible watchdogs among themselves based on local information provided by 2-hop neighborhood awareness. With 2-hop neighborhood awareness each node knows all the neighbors within its 2 hops, which provides it with necessary information to act according to the heuristic rules in AWF-NA. Induction-based proof shows that AWF-NA can detect all potential attacks of data packet tampering. Theoretical analysis indicates that it achieves good balance of desirable performance and authentic packet relaying.
Keywords
ad hoc networks; mobile radio; 2-hop neighborhood awareness; autonomous watchdog formation; data packet tampering; tampered packet detection; vehicular ad hoc networks; Ad hoc networks; Broadcasting; Computerized monitoring; Drives; Face detection; Guidelines; Information technology; Mobile ad hoc networks; Performance analysis; Relays;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.377
Filename
4698152
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