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Deep deterministic policy gradient caching method for privacy protection in Internet of Vehicles
更新时间：2025-07-22

    • Deep deterministic policy gradient caching method for privacy protection in Internet of Vehicles

    • “In the field of privacy protection in the Internet of Vehicles, experts have proposed a deep deterministic policy gradient caching method, which effectively improves cache hit rates, reduces interaction frequency, and protects user privacy and security.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 5, Pages: 1638-1647(2025)
    • 作者机构：

      1.河南理工大学 计算机科学与技术学院，河南 焦作 454000

      2.河南理工大学 软件学院，河南 焦作 454000

    • DOI：10.13229/j.cnki.jdxbgxb.20230908    

      CLC： TP393

    • Received：27 August 2023，

      Published：01 May 2025

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  • SHEN Zi-hao,GAO Yong-sheng,WANG Hui,et al.Deep deterministic policy gradient caching method for privacy protection in Internet of Vehicles[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(05):1638-1647. DOI： 10.13229/j.cnki.jdxbgxb.20230908.

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