Location privacy protection for network-RTK VRS positioning users via mobile networks

Xiong, Ruoting, Ren, Yi, Shi, Xin, Ren, Wei and Parr, Gerard (2025) Location privacy protection for network-RTK VRS positioning users via mobile networks. In: in Proc. 24th IEEE TrustCom 2025. UNSPECIFIED. (In Press)

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Abstract

Real-time kinematic (RTK) positioning is a widely used technique that improves positioning accuracy to the centimeter level. In RTK systems, users can utilize the correction data provided by a reference station (RS) to offset their location errors. However, due to the limited deployment and high cost of RS, some places are not covered by physical RS (within 30 kilometers). Therefore, a virtual reference station (VRS) RTK service is provided, where a server generates VRS for users and provides seamless cloud-based network RTK corrections without the need of a real RS. Despite the benefits of VRS services, it poses a risk to user location privacy, as users need to continuously report their standalone calculated positions to the server to obtain the service. In this paper, we propose a privacy-preserving approach for VRS services by multicasting correction data over mobile networks, where joined users can receive valid correction data from the base station in either inactive or connected mode. Experiment results show that the network delay is less than 40ms, throughput is about 16kbps, and the RTK positioning error is 4cm. Other qualitative analyses (such as service continuity and stability) also prove the feasibility and effectiveness of the proposed method.

Item Type:	Book Section
Uncontrolled Keywords:	real-time kinematic positioning,virtual reference station,location privacy,cellular network,multicast service,correction data dissemination
Faculty \ School:	Faculty of Science Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Cyber Intelligence and Networks
Depositing User:	LivePure Connector
Date Deposited:	11 Nov 2025 17:30
Last Modified:	11 Nov 2025 17:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/100954
DOI:

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