Abstract
In Vehicular Networks, for enhancing driving safety as well as supporting other applications, vehicles periodically broadcast safety messages with their precise position information to neighbors. However, these broadcast messages make it easy to track specific vehicles and will likely lead to compromise of personal privacy. Unfortunately, current location privacy enhancement methodologies in VANET, including Pseudonymization, K-anonymity, Random silent period, Mix-zones and path confusion, all suffer some shortcomings. In this paper, we propose a RSSI (Received Signal Strength Indicator)-based user centric anonymization model, which can significantly enhance the location privacy and at the same time ensure traffic safety. Simulations are performed to show the advantages of the proposed method. In comparison with traditional random silent period method, our method can increase at least 47% of anonymity in both simple and correlation tracking.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lu, R., Lin, X., Zhu, H., Ho, P., Shen, X.: ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications. In: INFOCOM 2008. The 27th Conference on Computer Communications, pp. 1229–1237. IEEE, Los Alamitos (2008)
Raya, M., Hubaux, J.-P.: Securing vehicular ad hoc networks. Journal of Computer Security 15, 39–68 (2007)
Dötzer, F.: Privacy Issues in Vehicular Ad Hoc Networks. Privacy Enhancing Technologies, pp. 197–209 (2006)
Gerlach, M., Guttler, F.: Privacy in VANETs using Changing Pseudonyms-Ideal and Real. In: IEEE 65th Vehicular Technology Conference, 2007. VTC 2007, pp. 2521–2525 (Spring 2007)
Calandriello, G., Hubaux, J., Lioy, A.: Efficient and robust pseudonymous authentication in VANET. In: Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks, pp. 19–28 (2007)
Huang, L., Matsuura, K., Yamane, H., Sezaki, K.: Towards modeling wireless location privacy. In: Danezis, G., Martin, D. (eds.) PET 2005. LNCS, vol. 3856, pp. 59–77. Springer, Heidelberg (2006)
Sampigethaya, K., Li, M.Y., Huang, L.P., Poovendran, R.: AMOEBA: Robust location privacy scheme for VANET. IEEE Journal on Selected Areas in Communications 25, 1569–1589 (2007)
Gruteser, M., Grunwald, D.: Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking. In: Proceedings of the 1st international conference on Mobile systems, applications and services, pp. 31–42 (2003)
Shin, H., Atluri, V., Vaidya, J.: A Profile Anonymization Model for Privacy in a Personalized Location Based Service Environment. In: 9th International Conference on Mobile Data Management, 2008. MDM 2008, pp. 73–80 (2008)
Gedik, B., Liu, L.: A Customizable k-Anonymity Model for Protecting Location Privacy. Georgia Institute of Technology (2004)
Hoh, B., Gruteser, M., Xiong, H., Alrabady, A.: Preserving privacy in GPS traces via uncertainty-aware path cloaking. In: Proceedings of the 14th ACM conference on Computer and communications security, pp. 161–171 (2007)
Meyerowitz, J.T., Choudhury, R.R.: Realtime location privacy via mobility prediction: creating confusion at crossroads. In: Proceedings of the 10th workshop on Mobile Computing Systems and Applications. ACM, Santa Cruz (2009)
Beresford, A., Stajano, F.: Mix zones: User privacy in location-aware services. In: Proceedings of First IEEE International Workshop on Pervasive Computing and Communication Security, PerSec (2004)
Freudiger, J., Raya, M., Félegyházi, M., Papadimitratos, P., Hubaux, J.P.: Mix-Zones for Location Privacy in Vehicular Networks (2007)
Chow, C., Mokbel, M., Liu, X.: A peer-to-peer spatial cloaking algorithm for anonymous location-based service. In: Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems, pp. 171–178 (2006)
Lin, X., Sun, X., Ho, P.H., Shen, X.: GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications. IEEE Transactions on Vehicular Technology 56, 3442–3456 (2007)
Armknecht, F., Festag, A., Westhoff, D., Zeng, K.: Cross-layer privacy enhancement and non-repudiation in vehicular communication. In: 4th Workshop on Mobile Ad-Hoc Networks (WMAN) (March 2007)
Huang, L., Matsuura, K., Yamane, H., Sezaki, K., Japan, N.R.C., Tokyo, J.: Enhancing wireless location privacy using silent period. In: 2005 IEEE Conference on Wireless Communications and Networking, vol. 2 (2005)
Tang, L., Hong, X., Bradford, P.G.: Privacy-preserving secure relative localization in vehicular networks. Security and Communication Networks 1, 195–204 (2008)
Li, M., Sampigethaya, K., Huang, L., Poovendran, R.: Swing & swap: user-centric approaches towards maximizing location privacy. In: Proceedings of the 5th ACM workshop on Privacy in electronic society, pp. 19–28 (2006)
Sampigethaya, K., Huang, L., Li, M., Poovendran, R., Matsuura, K., Sezaki, K.: CARAVAN: providing location privacy for VANET. In: Proceedings of Embedded Security in Cars, ESCAR (2005)
Choi, W., Nam, J., Choi, S.: Hop State Prediction Method Using Distance Differential of RSSI on VANET, vol. 1 (2008)
Bouassida, M., Guette, G., Shawky, M., Ducourthial, B.: Sybil Nodes Detection Based on Received Signal Strength Variations within VANET. International Journal of Network Security 9, 12 (2009)
Bin, X., Bo, Y., Chuanshan, G.: Detection and localization of sybil nodes in VANETs. In: Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks. ACM, Los Angeles (2006)
Lau, E.E.L., Chung, W.Y.: Enhanced RSSI-Based Real-Time User Location Tracking System for Indoor and Outdoor Environments, pp. 1213–1218 (2007)
Choi, W.S., Nam, J.W., Choi, S.G.: Hop State Prediction Method Using Distance Differential of RSSI on VANET, vol. 1 (2008)
Saxena, M., Gupta, P., Jain, B.N.: Experimental analysis of RSSI-based location estimation in wireless sensor networks, pp. 503–510 (2008)
Whitehouse, K., Karlof, C., Culler, D.: A practical evaluation of radio signal strength for ranging-based localization (2007)
Jagadeesh, G.R., Srikanthan, T., Zhang, X.D.: A Map Matching Method for GPS Based Real-Time Vehicle Location. Journal of Navigation 57, 429–440 (2004)
Serjantov, A., Danezis, G.: Towards an information theoretic metric for anonymity. In: Dingledine, R., Syverson, P.F. (eds.) PET 2002. LNCS, vol. 2482, pp. 41–53. Springer, Heidelberg (2003)
SUMO: Simulation of Urban Mobility, http://sumo.sourceforge.net/
Trans: Traffic and Network Simulation Environment, http://trans.epfl.ch/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wei, YC., Chen, YM., Shan, HL. (2010). RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks. In: Gu, Q., Zang, W., Yu, M. (eds) Security in Emerging Wireless Communication and Networking Systems. SEWCN 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11526-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-11526-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11525-7
Online ISBN: 978-3-642-11526-4
eBook Packages: Computer ScienceComputer Science (R0)