A multidimensional, efficient, and secure data query based on privacy preservation in vehicular ad hoc networks.

ABSTRACT: For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy user privacy leaks, and low computational efficiency in resource-constrained contexts are some of the main issues that data querying in VANET environments encounters. To address these issues, this paper proposes an efficient fine-grained data query system (EFDA) based on lightweight masks that allows vehicle users to safely and in real-time query multidimensional traffic data. First, multifaceted data vectors are effectively integrated into a single cipher processing unit using a multidimensional CRT transformation method that counts the number of valid data. Paillier homomorphic encryption a

SUBMITTER: Zhao X 

PROVIDER: S-EPMC12654955 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature