Smart Grid and Internet of Things. Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings

Research Article

Privacy Preserving for Location-Based IoT Services

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  • @INPROCEEDINGS{10.1007/978-3-030-05928-6_4,
        author={Yue Qiu and Maode Ma},
        title={Privacy Preserving for Location-Based IoT Services},
        proceedings={Smart Grid and Internet of Things. Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018, Proceedings},
        proceedings_a={SGIOT},
        year={2019},
        month={1},
        keywords={Bloom filter Location privacy Proximity testing Security},
        doi={10.1007/978-3-030-05928-6_4}
    }
    
  • Yue Qiu
    Maode Ma
    Year: 2019
    Privacy Preserving for Location-Based IoT Services
    SGIOT
    Springer
    DOI: 10.1007/978-3-030-05928-6_4
Yue Qiu1,*, Maode Ma1,*
  • 1: Nanyang Technological University
*Contact email: QIUY0005@e.ntu.edu.sg, emdma@ntu.edu.sg

Abstract

In recent years, the applications of location-based Internet of Things (IoT) services change the way of people’s lives and works. However, these applications may disclose some private location information of users due to lack of privacy protection mechanism, which could result in serious security issues. To protect users’ confidential data, an efficient and secure private proximity testing (ESPT) scheme is designed for location-based IoT services to improve the efficiency while maintaining the privacy of the location of the users. The proposed scheme enables a user to query a service provider whether some people are within a given search range without disclosing any private location information of the user. The security analysis and the simulation results demonstrate that the proposed scheme could not only implement a privacy-preserving proximity test, but also has less computational overheads.