RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks

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.

[1]  Jia Lun Tsai.  Efficient Nonce-based Authentication Scheme for Session Initiation Protocol , 2009, Int. J. Netw. Secur..

[2]  Marco Gruteser,et al.  USENIX Association , 1992 .

[3]  Kaoru Sezaki,et al.  Enhancing wireless location privacy using silent period , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[4]  Maxim Raya,et al.  Mix-Zones for Location Privacy in Vehicular Networks , 2007 .

[5]  Lei Tang,et al.  Privacy-preserving secure relative localization in vehicular networks , 2008, Secur. Commun. Networks.

[6]  T. Srikanthan,et al.  A Map Matching Method for GPS Based Real-Time Vehicle Location , 2004, Journal of Navigation.

[7]  Puneet Gupta,et al.  Experimental analysis of RSSI-based location estimation in wireless sensor networks , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[8]  Seong Gon Choi,et al.  Hop State Prediction Method Using Distance Differential of RSSI on VANET , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[9]  Bertrand Ducourthial,et al.  Sybil Nodes Detection Based on Received Signal Strength Variations within VANET , 2009, Int. J. Netw. Secur..

[10]  Chi-Yin Chow,et al.  A peer-to-peer spatial cloaking algorithm for anonymous location-based service , 2006, GIS '06.

[11]  Pin-Han Ho,et al.  ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[12]  Kaoru Sezaki,et al.  Towards Modeling Wireless Location Privacy , 2005, Privacy Enhancing Technologies.

[13]  Florian Dötzer,et al.  Privacy Issues in Vehicular Ad Hoc Networks , 2005, Privacy Enhancing Technologies.

[14]  Wan-Young Chung,et al.  Enhanced RSSI-Based Real-Time User Location Tracking System for Indoor and Outdoor Environments , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[15]  Frank Stajano,et al.  Mix zones: user privacy in location-aware services , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[16]  David E. Culler,et al.  A practical evaluation of radio signal strength for ranging-based localization , 2007, MOCO.

[17]  Maxim Raya,et al.  Securing vehicular ad hoc networks , 2007, J. Comput. Secur..

[18]  Matthias Gerlach,et al.  Privacy in VANETs using Changing Pseudonyms - Ideal and Real , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[19]  George Danezis,et al.  Towards an Information Theoretic Metric for Anonymity , 2002, Privacy Enhancing Technologies.

[20]  Radha Poovendran,et al.  Swing & swap: user-centric approaches towards maximizing location privacy , 2006, WPES '06.

[21]  Romit Roy Choudhury,et al.  Realtime location privacy via mobility prediction: creating confusion at crossroads , 2009, HotMobile '09.

[22]  Radha Poovendran,et al.  AMOEBA: Robust Location Privacy Scheme for VANET , 2007, IEEE Journal on Selected Areas in Communications.

[23]  Shivakant Mishra,et al.  Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks , 2006 .

[24]  Hannes Hartenstein,et al.  Proceedings of the 3rd international workshop on Vehicular ad hoc networks , 2006, MobiCom 2006.

[25]  R. Poovendran,et al.  CARAVAN: Providing Location Privacy for VANET , 2005 .

[26]  Pin-Han Ho,et al.  GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications , 2007, IEEE Transactions on Vehicular Technology.

[27]  Frederik Armknecht,et al.  Cross-layer Privacy Enhancement and Non-repudiation in Vehicular Communication , 2011 .

[28]  Hui Xiong,et al.  Preserving privacy in gps traces via uncertainty-aware path cloaking , 2007, CCS '07.

[29]  Bin Xiao,et al.  Detection and localization of sybil nodes in VANETs , 2006, DIWANS '06.

[30]  Panagiotis Papadimitratos,et al.  Efficient and robust pseudonymous authentication in VANET , 2007, VANET '07.

[31]  Vijayalakshmi Atluri,et al.  A Profile Anonymization Model for Privacy in a Personalized Location Based Service Environment , 2008, The Ninth International Conference on Mobile Data Management (mdm 2008).

[32]  Ling Liu,et al.  A Customizable k-Anonymity Model for Protecting Location Privacy , 2004 .