SHADOW: Silent-based Hybrid Approach for Dynamic Pseudonymization and Privacy Preservation in Vehicular Networks


Farhood Z. K., Abed A. A., Al Shareeda S. Y. A.

22nd Asia Simulation Conference, AsiaSim 2023, Langkawi, Malaysia, 25 - 26 October 2023, vol.1912 CCIS, pp.421-440 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1912 CCIS
  • Doi Number: 10.1007/978-981-99-7243-2_35
  • City: Langkawi
  • Country: Malaysia
  • Page Numbers: pp.421-440
  • Keywords: Privacy schemes, Pseudonym, Silent period, VANET
  • Istanbul Technical University Affiliated: Yes

Abstract

Preserving location privacy in Vehicular Ad hoc NETwork (VANET) is crucial for gaining public acceptance of this emerging technology. Many privacy schemes focus on periodically changing pseudonyms to prevent message linking. However, the spatiotemporal information contained in beacons allows vehicles to be traced, compromising driver privacy. Therefore, pseudonym changes should be performed in a mix-context, which disrupts the spatial and temporal correlation of subsequent beacons. This mix-context is commonly achieved through methods such as a silence period or predetermined locations (e.g., Mix-Zone). In this paper propose a new privacy scheme named SHADOW (Silent-based Hybrid Approach for Dynamic Pseudonymization and Privacy Preservation in Vehicular Networks), which is a location privacy scheme that allows vehicles to determine when to change their pseudonyms based on the number of neighboring vehicles and a silent period. Evaluated this scheme against a global multitarget tracking adversary using simulated and realistic vehicle traces and compare it with twelve previous privacy schemes in the Enhanced Privacy Extension Model (EPREXT) by using privacy metrics. The simulation results demonstrate that SHADOW achieves the highest level of security and privacy compared to the other twelve schemes.