A Traceable Location Privacy Preserving Scheme for Data Collection in Vehicular Fog Computing

Abstract

Vehicular fog computing (VFC) has emerged as a popular paradigm in the Internet of Vehicles (IoV) by replacing cloud servers with edge fog servers, thereby reducing communication latency and improving efficiency. However, data collection in VFC poses significant security challenges, particularly with respect to the privacy of location data, which is essential for effective vehicle data collection. While some traditional location privacy protection schemes have been developed, they fail to address the availability of location data and the traceability of special situations. To overcome these limitations, we propose a traceable vehicle location privacy protection scheme in VFC that ensures the availability of location data by using fuzzy location information and achieves the traceability of location data through a secret sharing scheme. The simulation results demonstrate its effectiveness and feasibility.