Removal of misbehaving insiders in anonymous VANETs

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Removal of misbehaving insiders in anonymous VANETs

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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems table of contents

Tenerife, Canary Islands, Spain

SESSION: Privacy, authentication, security table of contents

Pages 106-115

Year of Publication: 2009

ISBN:978-1-60558-616-8

Authors

Xuejun Zhuo	Tsinghua University, Beijing, China
Jianguo Hao	Tsinghua University, Beijing, China
Duo Liu	Tsinghua University, Beijing, China
Yiqi Dai	Tsinghua University, Beijing, China

Sponsor

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

ACM New York, NY, USA

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ABSTRACT

Vehicular Ad hoc NETworks (VANETs), which provide vehicles with an easy access to exchange the up-to-date traffic status and various kinds of data, have become a promising application of mobile ad-hoc networks. In the life-critical VANETs, security issues are considered as a focal topic. One challenging problem among these issues is the insider misbehavior since it bypasses the traditional security mechanisms such as authentication. The existing works focusing on this problem do not take the privacy issue into account. Their presented solutions are paralyzed in the anonymous VANETs, where the drivers' real identity is protected. In this paper, we propose SLEP and PRP, two novel protocols to efficiently remove the misbehaving insiders from the anonymous VANETs. Through analysis and extensive simulations, we demonstrate that these two protocols can achieve high reaction speed and accuracy for both the local eviction and the permanent revocation to the misbehaving vehicles, at an acceptable cost.

REFERENCES

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	1	Standard Specification for Telecommunications and Information Exchange Between Roadside and Vehicle Systems - 5 GHz Band Dedicated Short Range Communications (DSRC) Medium Access Control (MAC) and Physical Layer (PHY)Specifications. ASTM E2213-03, 2003.
	2	J. Clulow and T. Moore. Suicide for the Common Good: a New Strategy for Credential Revocation in Self-Organizing Systems. In ACM SIGOPS Operating Systems Review, pages 18--21, 2006.
	3	C. Dellarocas. The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms, volume 49. INFORMS, 2003.
	4	F. Dotzer. Privacy Issues in Vehicular Ad Hoc Networks. Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 3856:197--209, June 2006.
	5	F. Dotzer, L. Fischer, and P. Magiera. VARS: A Vehicle Ad-Hoc Network Reputation System. In Proceedings of the 6th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), pages 454--456, June 2005.
	6	P. Golle, D. Greene, and J. Staddon. Detecting and Correcting Malicious Data in VANETs. In Proceedings of the 1st ACM International Workshop on Vehicular Ad Hoc Networks (VANET), pages 29--37, 2004.
	7	X. Hong, D. Huang, M. Gerla, and Z. Cao. SAT: Situation-Aware Trust Architecture for Vehicular Networks. In Proceedings of the 3rd ACM International Workshop on Mobility in the Evolving Internet (MOBIARCH), pages 31--36, 2008.
	8	C. Lochert, B. Scheuermann, and M. Mauve. Probabilistic Aggregation for Data Dissemination in VANETs. In Proceedings of the 4th ACM International Workshop on Vehicular Ad Hoc Networks (VANET), pages 1--8, 2007.
	9	B. Ostermaier, F. Dotzer, and M. Strassberger. Enhancing the Security of Local Danger Warnings in VANETs. In Proceedings of the 2nd IEEE International Conference on Availability, Reliability and Security (ARES), pages 422--431, 2007.
	10	B. Parno and A. Perrig. Challenges in Securing Vehicular Networks. In Proceedings of HotNets-IV, 2005.
	11	M. Raya, A. Aziz, and J.-P. Hubaux. Efficient Secure Aggregation in VANETs. In Proceedings of the 3rd ACM International Workshop on Vehicular Ad Hoc Networks (VANET), pages 67--75, 2006.
	12	M. Raya and J.-P. Hubaux. The Security of Vehicular Ad Hoc Networks. In Proceedings of the 3rd ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN), pages 11--21, 2005.
	13	M. Raya, M. H. Manshaei, M. Felegyhazi, and J.-P. Hubaux. Revocation Games in Ephemeral Networks. In Proceedings of the 15th ACM Conference on Computer and Communications Security (CCS), pages 199--210, 2008.
	14	M. Raya, P. Papadimitratos, I. Aad, D. Jungels, and J.-P. Hubaux. Eviction of Misbehaving and Faulty Nodes in Vehicular Networks. IEEE Journal on Selected Areas in Communications (JSAC), 25(8):1557--1568, October 2007.
	15	M. Raya, P. Papadimitratos, V. D. Gligor, and J.-P. Hubaux. On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks. In Proceedings of the 27th IEEE Conference on Computer Communications (INFOCOM), pages 1238--1246, 2008.
	16	A. K. Saha and D. B. Johnson. Modeling Mobility for Vehicular Ad-Hoc Networks. In Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks (VANET), pages 91--92, 2004.