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<p>The internet of vehicles (IoV) connects vehicles, infrastructure, and users, generating a large amount of sensitive data that requires strong privacy protection. To address the limitations of traditional keyword-based exact search methods, this paper proposes an efficient encrypted semantic search method for IoV. The method introduces an encrypted search architecture that combines edge and cloud computing to achieve low-latency processing and high-capacity storage. An encrypted knowledge graph-based semantic search (EKGSS) method is developed to combine symmetric encryption with knowledge graphs to achieve privacy-preserving and semantically relevant content retrieval. Experiment results show that EKGSS improves precision by 3.2% and recall by 36% while ensuring data privacy.</p>

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Efficient encrypted semantic search method toward internet of vehicles

  • 期刊论文

  • 发表日期：

    2025年2月24日

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  • Ruyan Wang,
  • Zhen Zhang,
  • Puning Zhang,
  • Chao Wu,
  • Zhigang Yang

摘要

The internet of vehicles (IoV) connects vehicles, infrastructure, and users, generating a large amount of sensitive data that requires strong privacy protection. To address the limitations of traditional keyword-based exact search methods, this paper proposes an efficient encrypted semantic search method for IoV. The method introduces an encrypted search architecture that combines edge and cloud computing to achieve low-latency processing and high-capacity storage. An encrypted knowledge graph-based semantic search (EKGSS) method is developed to combine symmetric encryption with knowledge graphs to achieve privacy-preserving and semantically relevant content retrieval. Experiment results show that EKGSS improves precision by 3.2% and recall by 36% while ensuring data privacy.