n-CD: A Geometric Approach to Preserving Location Privacy in Location-Based Services

被引:0
|
作者
Li, Ming [1 ]
Salinas, Sergio [1 ]
Thapa, Arun [1 ]
Li, Pan [1 ]
机构
[1] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With great advances in mobile devices, e.g., smart phones and tablets, location-based services (LBSs) have recently emerged as a very popular application in mobile networks. However, since LBS service providers require users to report their location information, how to preserve users' location privacy is one of the most challenging problems in LBSs. Most existing approaches either cannot fully protect users' location privacy, or cannot provide accurate LBSs. Many of them also need the help of a trusted third-party, which may not always be available. In this paper, we propose a geometric approach, called n-CD, to provide realtime accurate LBSs while preserving users' location privacy without involving any third-party. Specifically, we first divide a user's region of interest (ROI), which is a disk centered at the user's location, into n equal sectors. Then, we generate n concealing disks (CDs), one for each sector, one by one to collaboratively and fully cover each of the n sectors. We call the area covered by the n CDs the concealing space, which fully contains the user's ROI. After rotating the concealing space with respect to the user's location, we send the rotated centers of the n CDs along with their radii to the service provider, instead of the user's real location and his/her ROI. To investigate the performance of n-CD, we theoretically analyze its privacy level and concealing cost. Extensive simulations are finally conducted to evaluate the efficacy and efficiency of the proposed schemes.
引用
收藏
页码:3012 / 3020
页数:9
相关论文
共 50 条
  • [1] Geometric Searchable Encryption for Privacy-Preserving Location-Based Services
    Chen, Zhenhua
    Nie, Jingjing
    Li, Zhanli
    Susilo, Willy
    Ge, Chunpeng
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 16 (04) : 2672 - 2684
  • [2] Enhanced Location Privacy Preserving Scheme in Location-Based Services
    Peng, Tao
    Liu, Qin
    Wang, Guojun
    IEEE SYSTEMS JOURNAL, 2017, 11 (01): : 219 - 230
  • [3] Preserving Users' Privacy for Location-Based Services
    Agarwal, Pranay
    Kumar, Abhinav
    Yamaguchi, Rie Shigetomi
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [4] Privacy Preserving Scheme for Location and Content Protection in Location-Based Services
    Peng, Tao
    Liu, Qin
    Wang, Guojun
    Xiang, Yang
    SECURITY, PRIVACY, AND ANONYMITY IN COMPUTATION, COMMUNICATION, AND STORAGE, 2016, 10066 : 26 - 38
  • [5] Preserving location-query privacy in location-based services: A review
    Rasheed, Hira
    Noor, Rafidah Md
    Ghani, Norjihan Abdul
    Ahmad, Iftikhar
    SECURITY AND PRIVACY, 2024,
  • [6] Preserving Privacy for Location-Based Services with Continuous Queries
    Wang, Yiming
    Wang, Lingyu
    Fung, Benjamin C. M.
    2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, 2009, : 845 - 849
  • [7] Privacy-preserving Recommendation for Location-based Services
    Lyu, Qiuyi
    Ishimaki, Yu
    Yamana, Hayato
    2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019), 2019, : 98 - 105
  • [8] Preserving Location Privacy for Location-Based Services with Continuous Queries on Road Network
    Wang, Yilei
    Zhou, Hao
    Wu, Yingjie
    Sun, Lan
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 822 - 827
  • [9] A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services
    Song, Doohee
    Sim, Jongwon
    Park, Kwangjin
    Song, Moonbae
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [10] Location Privacy-preserving Mechanisms in Location-based Services: A Comprehensive Survey
    Jiang, Hongbo
    Li, Jie
    Zhao, Ping
    Zeng, Fanzi
    Xiao, Zhu
    Iyengar, Arun
    ACM COMPUTING SURVEYS, 2021, 54 (01)