A Sensitivity-based Location Privacy Protection Scheme in Vehicular Networks
DOI:
https://doi.org/10.54097/fcis.v5i3.13858Keywords:
Location Privacy Protection, Pseudonym, Vehicular Networks, SensitivityAbstract
In recent times, the issue of vehicle location privacy has received increasing attention. Location-based services (LBSs) require users’ location information to be constantly updated to service providers, which causes the location information to be speculated and attacked by malicious entities. The pseudonym schemes offer a viable solution to the aforementioned problem, but existing pseudonym schemes do not provide differentiated protection for users’ varying locations, thereby increasing the possibility of location information leakage. To address this concern, we propose a sensitivity-based pseudonym exchange mechanism, which leverages the vehicle’s historical track record to extract features and enable customized location privacy protection. Performance evaluation results demonstrate that our approach significantly outperforms existing approaches in achieving location privacy.
Downloads
References
C. Chen, Z. Liu, S. Wan, J. Luan, and Q. Pei, “Traffic flow prediction based on deep learning in internet of vehicles,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 6, pp. 3776–3789, Jun. 2020.
J. Cui, X. Zhang, H. Zhong, J. Zhang, and L. Liu, “Extensible conditional privacy protection authentication scheme for secure vehicular networks in a multi-cloud environment,” IEEE Trans. Inf. Forensics Secur ., vol. 15,pp. 1654–1667, 2020.
C. Chen, Y . Zhang, Z. Wang, S. Wan, and Q. Pei, “Distributed computation offloading method based on deep reinforcement learning in ICV,”Appl. Soft Comput., vol. 103, May 2021, Art. no. 107108.
J. Petit, F. Schaub, M. Feiri, and F. Kargl, “Pseudonym schemes in vehicular networks: A survey,” IEEE Commun. Surveys Tuts., vol. 17,no. 1, pp. 228–255, Mar. 2014.
H. Artail and N. Abbani, “A pseudonym management system to achieve anonymity in vehicular ad hoc networks,” IEEE Trans. Dependable Secure Comput., vol. 13, no. 1, pp. 106–119, Jan./Feb. 2016.
SAE J2735 V1.1.1-Dedicated Short Range Communications (DSRC) Message Set Dictionary. SAE Standard, 200.
X. Li, H. Zhang, Y. Ren, S. Ma, B. Luo, J. Weng, J. Ma, X. Huang, “PAPU: Pseudonym Swap With Provable Unlinkability Based on Differential Privacy in VANETs[J],” IEEE Internet of Things Journal, 2020, 7(12): 11789–11802.
R. Lu, X. Lin, T. H. Luan, X. Liang, and X. Shen, “Pseudonym changing at social spots: An effective strategy for location privacy in V ANETs,” IEEE Trans. V eh. Technol., vol. 61, no. 1, pp. 86–96, Jan. 2012.
J. Freudiger, M. Raya, M. Félegyházi, P. Papadimitratos, and J.-P. Hubaux,“Mix-zones for location privacy in vehicular networks,” in Proc. ACM Workshop Wireless Netw. Intell. Transp. Syst., 2007, pp. 1–7.
H. Zhong, J. Ni, J. Cui, J. Zhang and L. Liu, "Personalized Location Privacy Protection Based on Vehicle Movement Regularity in Vehicular Networks," in IEEE Systems Journal, vol. 16, no. 1, pp. 755-766, March 2022.
Z. Liu, Z. Liu, L. Zhang, and X. Lin, “MARP: A distributed MAC layer attack resistant pseudonym scheme for V ANET,” IEEE Trans. Dependable Secure Comput., vol. 17, no. 4, pp. 869–882, Jul./Aug. 2020.
L. Buttyán, T. Holczer, A. Weimerskirch and W. Whyte, "SLOW: A Practical pseudonym changing scheme for location privacy in VANETs," 2009 IEEE Vehicular Networking Conference (VNC), Tokyo, Japan, 2009, pp. 1-8.
R. Yu, J. Kang, X. Huang, S. Xie, Y. Zhang, and S. Gjessing, “Mixgroup:Accumulative pseudonym exchanging for location privacy enhancementin vehicular social networks,” IEEE Trans. Dependable Secure Comput.,vol. 13, no. 1, pp. 93–105, Jan./Feb. 2016.
M. Gerlach and F. Guttler, "Privacy in VANETs using Changing Pseudonyms - Ideal and Real," 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, Dublin, Ireland, 2007, pp. 2521-2525.
Y.-S. Chen, T.-T. Lo, C.-H. Lee, and A.-C. Pang, “Efficient pseudonym changing schemes for location privacy protection in VANETs,” in Proc. Int. Conf. Connected Veh. Expo., 2013, pp. 937–938.
A. R. Beresford and F. Stajano, “Location privacy in pervasive computing,”IEEE Perv. Comput., vol. 2, no. 1, pp. 46–55, Jan.–Mar. 2003.
Y. Li, Y. Yin, X. Chen, J. Wan, G. Jia and K. Sha, "A Secure Dynamic Mix Zone Pseudonym Changing Scheme Based on Traffic Context Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 9492-9505, July 2022.
D. Eckhoff, C. Sommer, T. Gansen, R. German and F. Dressler, "Strong and affordable location privacy in VANETs: Identity diffusion using time-slots and swapping," 2010 IEEE Vehicular Networking Conference, Jersey City, NJ, USA, 2010, pp. 174-181.
B. Ying, D. Makrakis and H. T. Mouftah, "Dynamic Mix-Zone for Location Privacy in Vehicular Networks," in IEEE Communications Letters, vol. 17, no. 8, pp. 1524-1527, August 2013.
