Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks

Summary In road network, vehicles' location may be identified, and their transmissions may even tracked by eavesdrops (eg, safety messages) that contain sensitive personal information such as identity and location of the vehicle. This type of communication leads to breaking the users' trajectory privacy. Frequently changing pseudonyms are widely accepted as a solution that protects the trajectory privacy of users in road networks. However, this solution may become invalid if a vehicle changes its pseudonym at an improper occasion. To cope with this issue, we presented an efficient pseudonym change strategy with multiple mix zones scheme to provide trajectory privacy for road network. In addition, we protected vehicles against linkability attack by cheating mechanism. Henceforth, we constructed a cheating detection mechanism which allows the vehicles to verify whether the pseudonym change process is successful or not and also detect to malicious vehicles. In this way, users' trajectory privacy can be improved. Finally, by taking the anonymity set size (ASS) as the trajectory privacy metric, we exhibit by means of simulations that the proposed scheme is effective in multiple networks scenarios.

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

[2]  Mukhtiar Ali Unar,et al.  Privacy Preserving Dynamic Pseudonym-Based Multiple Mix-Zones Authentication Protocol over Road Networks , 2017, Wirel. Pers. Commun..

[3]  Zhongliang Deng,et al.  Location monitoring approach: multiple mix-zones with location privacy protection based on traffic flow over road networks , 2018, Multimedia Tools and Applications.

[4]  Yong Wang,et al.  Preserving users' privacy for continuous query services in road networks , 2013, 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering.

[5]  Levente Buttyán,et al.  SLOW: A Practical pseudonym changing scheme for location privacy in VANETs , 2009, 2009 IEEE Vehicular Networking Conference (VNC).

[6]  Imran Memon,et al.  Travel Recommendation Using Geo-tagged Photos in Social Media for Tourist , 2015, Wirel. Pers. Commun..

[7]  Jian Shen,et al.  EIAS-CP: new efficient identity-based authentication scheme with conditional privacy-preserving for VANETs , 2016, Telecommunication Systems.

[8]  Imran Memon,et al.  Privacy protection with dynamic pseudonym-based multiple mix-zones over road networks , 2017, China Communications.

[9]  Imran Memon,et al.  A Secure and Efficient Communication Scheme with Authenticated Key Establishment Protocol for Road Networks , 2015, Wirel. Pers. Commun..

[10]  Zhendong Ma,et al.  Privacy in inter-vehicular networks: Why simple pseudonym change is not enough , 2010, 2010 Seventh International Conference on Wireless On-demand Network Systems and Services (WONS).

[11]  Haibin Zhang,et al.  When Smart Wearables Meet Intelligent Vehicles: Challenges and Future Directions , 2017, IEEE Wireless Communications.

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

[13]  Ahmed Ahmim,et al.  Privacy-Preserving Schemes for Ad Hoc Social Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[14]  Xiaohui Liang,et al.  Pseudonym Changing at Social Spots: An Effective Strategy for Location Privacy in VANETs , 2012, IEEE Transactions on Vehicular Technology.

[15]  Imran Memon,et al.  Erratum to: Dynamic path privacy protection framework for continuous query service over road networks , 2016, World Wide Web.

[16]  Imran Memon,et al.  Efficient User Based Authentication Protocol for Location Based Services Discovery Over Road Networks , 2017, Wirel. Pers. Commun..

[17]  Cong Sun,et al.  Balancing trajectory privacy and data utility using a personalized anonymization model , 2014, J. Netw. Comput. Appl..

[18]  Kaoru Sezaki,et al.  Silent Cascade: Enhancing Location Privacy Without Communication QoS Degradation , 2006, SPC.

[19]  Karim Emara,et al.  CAPS: context-aware privacy scheme for VANET safety applications , 2015, WISEC.

[20]  Jianfeng Ma,et al.  TrPF: A Trajectory Privacy-Preserving Framework for Participatory Sensing , 2013, IEEE Transactions on Information Forensics and Security.

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

[22]  Shengli Xie,et al.  MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks , 2016, IEEE Transactions on Dependable and Secure Computing.

[23]  Imran Memon,et al.  Optimal placement of mix zones in road networks , 2017, ArXiv.

[24]  Jian-Ping Li,et al.  GEO matching regions: multiple regions of interests using content based image retrieval based on relative locations , 2017, Multimedia Tools and Applications.

[25]  Abdelwahab Boualouache,et al.  TAPCS: Traffic-aware pseudonym changing strategy for VANETs , 2017, Peer-to-Peer Netw. Appl..

[26]  Jianqing Li,et al.  Cooperative pseudonym change scheme based on the number of neighbors in VANETs , 2013, J. Netw. Comput. Appl..

[27]  Liren Zhang,et al.  Architecture of Hybrid Mobile Social Networks for Efficient Content Delivery , 2014, Wireless Personal Communications.

[28]  Yong Wang,et al.  Modeling the spreading behavior of passive worms in mobile social networks , 2013, 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering.

[29]  Imran Memon,et al.  Enhanced Privacy and Authentication: An Efficient and Secure Anonymous Communication for Location Based Service Using Asymmetric Cryptography Scheme , 2015, Wirel. Pers. Commun..

[30]  Imran Memon,et al.  An effective and secure user authenticated protocol for Location based services in road networks , 2017, ArXiv.

[31]  Imran Memon,et al.  Design and Implementation to Authentication over a GSM System Using Certificate-Less Public Key Cryptography (CL-PKC) , 2014, Wirel. Pers. Commun..

[32]  Gang Sun,et al.  L2P2: A location-label based approach for privacy preserving in LBS , 2017, Future Gener. Comput. Syst..

[33]  Srdjan Capkun,et al.  The security and privacy of smart vehicles , 2004, IEEE Security & Privacy Magazine.

[34]  Imran Memon,et al.  DPMM: dynamic pseudonym-based multiple mix-zones generation for mobile traveler , 2017, Multimedia Tools and Applications.

[35]  Ren-Hung Hwang,et al.  A Novel Time-Obfuscated Algorithm for Trajectory Privacy Protection , 2014, IEEE Transactions on Services Computing.

[36]  Victor C. M. Leung,et al.  Wireless Location Privacy Protection in Vehicular Ad-Hoc Networks , 2010, Mob. Networks Appl..

[37]  Imran Memon,et al.  Dynamic path privacy protection framework for continuous query service over road networks , 2016, World Wide Web.

[38]  Hassan Artail,et al.  A Pseudonym Management System to Achieve Anonymity in Vehicular Ad Hoc Networks , 2016, IEEE Transactions on Dependable and Secure Computing.

[39]  Frank Kargl,et al.  Efficient and secure storage of private keys for pseudonymous vehicular communication , 2013, CyCAR '13.

[40]  Joel J. P. C. Rodrigues,et al.  An efficient energy‐aware predictive clustering approach for vehicular ad hoc networks , 2017, Int. J. Commun. Syst..

[41]  Imran Memon,et al.  Dynamic Distributed Mobility Management System based on Multiple Mix-Zones over Road Networks , 2017, ArXiv.

[42]  Imran Memon,et al.  Implementation of secure AODV in MANET , 2013, International Conference on Graphic and Image Processing.

[43]  Der-Jiunn Deng,et al.  Wireless Big Data Computing in Smart Grid , 2017, IEEE Wireless Communications.

[44]  Imran Memon,et al.  Search me if you can: Multiple mix zones with location privacy protection for mapping services , 2017, Int. J. Commun. Syst..

[45]  Imran Memon,et al.  Authentication User’s Privacy: An Integrating Location Privacy Protection Algorithm for Secure Moving Objects in Location Based Services , 2015, Wirel. Pers. Commun..

[46]  Hannes Federrath,et al.  Simulation-based evaluation of techniques for privacy protection in VANETs , 2012, 2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[47]  Zhongliang Deng,et al.  Map Services Based on Multiple Mix-zones with Location Privacy Protection over Road Network , 2017, Wireless Personal Communications.

[48]  Jean-Yves Le Boudec,et al.  On the Age of Pseudonyms in Mobile Ad Hoc Networks , 2010, 2010 Proceedings IEEE INFOCOM.