Privacy-Preserving Pseudonym Management and Change Scheme in Fog-Based VANETs

Abstract

Existing pseudonym schemes in Vehicular Ad-Hoc Networks (VANETs) incur significant communication and storage overhead. Moreover, while RSU-dependent schemes are constrained by the cost and scala- bility of infrastructure deployment, RSU-independent schemes frequently rely on centralized components that introduce both privacy vulnerabilities and performance bottlenecks. To address these issues, this paper proposes a fog-computing-based pseudonym-management architecture that utilizes distributed fog nodes to execute pseudonym generation, distribution, storage, and accountability. Within this framework, a vehicle entering a fog domain receives a pool of short-term pseudonyms from its nearest fog node for intra-domain communications. This architecture significantly reduces communication latency, alleviates the burden on the centralized certificate authority, and enhances system scalability. In addition, based on the proposed architecture, a vehicle-centric RSU-independent pseudonym-change mechanism is introduced. The mech- anism dynamically determines the optimal timing for pseudonym changes by quantifying driving-behavior similarity and incorporating real-time vehicle states such as speed, direction, and relative position. Theo- retical analysis shows that the proposed scheme provides effective privacy protection. Experimental results demonstrate that, compared with traditional RSU-based and centralized schemes, the proposed scheme sig- nificantly enhances anonymity while substantially reducing the risk of being tracked, offering a practical and scalable solution for privacy-preserving VANETs.

References

[1] A. Alshaeri and M. Younis, “Certificate-Less

Single-Use Pseudonym Scheme for Countering Trajectory Tracking Attacks in ITS,”

IEEE Trans. Intell. Transp. Syst., vol. 26,

no. 7, pp. 9214–9225, 2025.

[2] J. Wang, Y. Sun, and C. Phillips, “Fake

Beacon: A Pseudonym Changing Scheme for

Low Vehicle Density in VANETs,” in Proc.

IEEE Veh. Technol. Conf. (VTC-Spring),

2023, pp. 1–7.

[3] S. Bartoletti et al., “Integration of Sensing

and Localization in V2X Sidelink Commu-nications,” IEEE Commun. Mag., vol. 62,

no. 8, pp. 185–191, 2024.

[4] Y. Higashida and K. Sato, “Evaluation of a

Pseudonym Change Scheme using LSH for

Location Privacy in V2X Communication,”

IEICE Commun. Express, vol. 14, no. 3,

pp. 115–118, 2025.

[5] S. Son et al., “Design of Blockchain-Based

Lightweight V2I Handover Authentication

Protocol for VANET,” IEEE Trans. Netw.

Sci. Eng., vol. 9, no. 3, pp. 1346–1358, 2022.

[6] J. Kang et al., “Blockchain-Based

Pseudonym Management for Vehicle Twin

Migrations in Vehicular Edge Metaverse,”

IEEE Internet Things J., vol. 11, no. 21,

pp. 34254–34269, 2024.

[7] A. P. Mdee et al., “Security Compliant and

Cooperative Pseudonyms Swapping for Location Privacy Preservation in VANETs,”

IEEE Trans. Veh. Technol., vol. 72, no. 8,

pp. 10710–10723, 2023.

[8] Y. Wu, “TCCM: Trajectory Converged

Chaff-Based Mix-Zone Strategy for Enhancing Location Privacy in VANET,” IEEE Access, vol. 13, pp. 45436–45448, 2025.

[9] E. Khezri et al., “Security Challenges in

Internet of Vehicles (IoV) for ITS: A Survey,” Tsinghua Sci. Technol., vol. 30, no. 4,

pp. 1700–1723, Aug. 2025.

[10] S. K. Panigrahy et al., “A Survey and Tutorial on Network Optimization for Intelligent

Transport System Using the Internet of Vehicles,” Sensors, vol. 23, no. 1, pp. 555–585,

2023.

[11] Z. Zhang et al., “A Geo-Indistinguishable

Context-Based Mix Strategy for Trajectory

Protection in VANETs,” IEEE Trans. Veh.

Technol., vol. 72, no. 12, pp. 16538–16552,

2023.

[12] A. Srivastava et al., “Location Based Routing Protocols in VANET: Issues and Existing

Solutions,” Veh. Commun., vol. 23, 2020.13] A. Hayat et al., “A Novel Pseudonym Changing Scheme for Location Privacy Preservation in Sparse Traffic Areas,” IEEE Access,

vol. 11, pp. 89974–89985, 2023.

[14] X. Luo et al., “Research on Data Privacy Protection of Internet of Vehicles

Based on Differential Privacy,” in Proc. Int.

Conf. Geo-Spatial Knowledge and Intelligence, 2020, pp. 12007–12017.

[15] M. Al-Shalabi et al., “Energy Efficient MultiHop Path in Wireless Sensor Networks Using

an Enhanced Genetic Algorithm,” Inf. Sci.,

vol. 500, pp. 259–273, 2019.

[16] L. Hou et al., “Tracking Based Mix-Zone

Location Privacy Evaluation in VANET,”

IEEE Trans. Veh. Technol., vol. 70, no. 10,

pp. 10957–10969, 2021.

[17] M. A. Saare et al., “Relationships Between

the Older Adult’s Cognitive Decline and

Quality of Life,” Int. J. Interact. Mobile

Technol., vol. 13, no. 10, p. 42, 2019.

[18] I. Saini et al., “A Comprehensive Review of

Pseudonym Changing Strategies in Vehicular

Networks,” IJ Netw. Secur., vol. 21, no. 5,

pp. 785–796, 2019.

[19] S. Yogarayan et al., “A Review of Routing Protocols for Vehicular Ad-Hoc Networks

(VANETs),” in Proc. Int. Conf. Inf. Commun. Technol. (ICoICT), 2020, pp. 1–7.

[20] T. Gao and L. Zhao, “Pseudonym Schemes

Based on Location Privacy Protection in

VANETs: A Survey,” in Proc. Int. Conf.

Innov. Mobile Internet Services Ubiquitous

Comput., 2020, pp. 597–605.

[21] W. Cheng et al., “A Survey

on Privacy-Security in Internet of Vehicles,” in Proc. IEEE

DASC/PiCom/CBDCom/CyberSciTech,

2021, pp. 644–650.

[22] S. S. Moni and D. Manivannan, “CREASE:

Certificateless and Reused-Pseudonym

Based Authentication Scheme for Enabling

Security and Privacy in VANETs,” Internet

Things, vol. 20, p. 100605, 2022.[23] J. Guo et al., “Improving Malicious Email

Detection Through Novel Designated DeepLearning Architectures Utilizing Entire EMail,” Digital Commun. Netw., vol. 157,

pp. 257–279, 2023.

[24] X. Li et al., “PAPU: Pseudonym Swap With

Provable Unlinkability Based on Differential

Privacy in VANETs,” IEEE Internet Things

J., vol. 7, no. 12, pp. 11789–11802, 2020.

[25] Y. Li et al., “A Secure Dynamic Mix Zone

Pseudonym Changing Scheme Based on Traffic Context Prediction,” IEEE Trans. Intell.

Transp. Syst., vol. 23, no. 7, pp. 9492–9505,

2022.

[26] M. Khodaei and P. Papadimitratos, “Cooperative Location Privacy in Vehicular Networks: Why Simple Mix Zones Are Not

Enough,” IEEE Internet Things J., vol. 8,

no. 10, pp. 7985–8004, 2021.

[27] A. Boualouache et al., “PRIVANET: An Efficient Pseudonym Changing and Management

Framework for Vehicular Ad-Hoc Networks,”

IEEE Trans. Intell. Transp. Syst., vol. 21,

no. 8, pp. 3209–3218, 2020.

[28] H. Li et al., “Broadcast and Silence Period (BSP): A Pseudonym Change Strategy,”

IEEE Trans. Veh. Technol., vol. 72, no. 10,

pp. 13618–13630, 2023.

[29] I. Memon et al., “Pseudonym Changing

Strategy with Mix Zones Based Authentication Protocol for Location Privacy in

Road Networks,” Wireless Pers. Commun.,

vol. 116, pp. 3309–3329, 2021.

[30] S. Haider et al., “A Privacy Conserving

Pseudonym Acquisition Scheme in Vehicular

Communication Systems,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 9, pp. 15536–

15545, 2022.

[31] W. Zhang et al., “DPSP: A Dynamic

Pseudonym Swap Program Based Location

Privacy Protection Algorithm for Internet

of Vehicles,” IEEE Trans. Netw. Sci. Eng.,

vol. 11, no. 5, pp. 4525–4535, 2024.[32] A. Hayat et al., “A Novel Pseudonym Changing Scheme for Location Privacy Preservation in Sparse Traffic Areas,” IEEE Access,

vol. 11, pp. 89974–89985, 2023.

[33] A. P. Mdee et al., “InfrastructureIndependent Pseudonym Swap Protocol

for Vehicular Networks,” in Proc. IEEE

ICUFN, 2022, pp. 351–356.

[34] P. K. Singh et al., “CPESP: Cooperative Pseudonym Exchange and Scheme

Permutation to Preserve Location Privacy

in VANETs,” Veh. Commun., vol. 20,

p. 100183, 2019.

[35] T. Gao and X. Xin, “Location Privacy Protection Scheme Based on Random Encryption Period in VANETs,” in Proc. IMIS,

2018.

[36] M. Wazid et al., “Authentication in CloudDriven IoT-Based Big Data Environment:

Survey and Outlook,” J. Syst. Archit.,

vol. 97, pp. 185–196, 2019.

[37] F. Schaub et al., “Privacy Requirements in

Vehicular Communication Systems,” in Proc.

IEEE PASSAT, 2009.

[38] K. Emara, “PREXT: Privacy Extension for

Veins VANET Simulator,” in Proc. IEEE

VNC, 2016, pp. 1–2.

[39] L. Huang et al., “Enhancing Wireless Location Privacy Using Silent Period,” in Proc.

IEEE WCNC, 2005, pp. 1187–1192.

[40] K. Emara et al., “CAPS: Context-Aware Privacy Scheme for VANET Safety Applications,” in Proc. ACM WiSec, 2015, pp. 1–12.

[41] Y. Pan and J. Li, “Cooperative Pseudonym

Change Scheme Based on the Number of

Neighbors in VANETs,” J. Netw. Comput.

Appl., vol. 36, no. 6, pp. 1599–1609, 2013.

[42] L. Buttyan et al., “SLOW: A Practical

Pseudonym Changing Scheme for Location

Privacy in VANETs,” in Proc. IEEE VNC,

2009, pp. 1–8.

Authors

  • Cong Zhao Nanyang Normal University, Nanyang, Henan, 473061, China
  • Sheng Zhuang Nanyang Normal University, Nanyang, Henan, 473061, China
  • Yikang Yang Nanyang Normal University, Nanyang, Henan, 473061, China
  • Xinyang Deng Nanyang Normal University, Nanyang, Henan, 473061, China
  • Xuan Ge Nanyang Normal University, Nanyang, Henan, 473061, China
  • He Li∗ Nanyang Normal University, Nanyang, Henan, 473061, China
  • Xiaopu Ma Nanyang Normal University, Nanyang, Henan, 473061, China
  • Qinglei Qi Nanyang Normal University, Nanyang, Henan, 473061, China
  • Wentao Li Nanyang Normal University, Nanyang, Henan, 473061, China

DOI:

https://doi.org/10.31449/inf.v50i15.14872

Keywords:

VANETs, Privacy-preserving, Fog computing, Pseudonym change, Pseudonym management

Downloads

Published

09/09/2026

How to Cite

Zhao, C., Zhuang, S., Yang, Y., Deng, X., Ge, X., Li∗, H., Ma, X., Qi, Q., & Li, W. (2026). Privacy-Preserving Pseudonym Management and Change Scheme in Fog-Based VANETs. Informatica, 50(15). https://doi.org/10.31449/inf.v50i15.14872