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Similarity-based privacy protection for publishing k-anonymous trajectories

     

摘要

1 Introduction and main contributions The combination of location technology and wireless communication technology has spawned a number of location-based services(LBS).Trusted location service providers(LSP)obtain a large amount of users’trajectories.The knowledge obtained from mining trajectory data can be used in many fields and may lead to privacy disclosure of users.The data owner(LSP)should process the trajectory data to protect privacy before publishing.Clusterreconstruction of trajectories is a common privacy protection method for publishing trajectories.

著录项

  • 来源
    《中国计算机科学前沿:英文版》|2022年第3期|207-209|共3页
  • 作者单位

    School of Computer Science and Technology,Changchun University of Science and Technology,Changchun 130022,China;

    Teacher Training Center of Colleges and Universities of Jilin Province,Jilin Normal University,Siping 136000,China;

    School of Computer Science and Technology,Jilin Normal University,Siping 136000,China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 TN9;
  • 关键词

    LBS; trajectories; services;

  • 入库时间 2024-01-21 07:35:12

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