中国邮电高校学报(英文) ›› 2021, Vol. 28 ›› Issue (1): 64-77.doi: 10.19682/j.cnki.1005-8885.2021.0002

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Research on location privacy protection method of sensor-cloud base station

赵国生1,张婧婷1,王健2   

  1. 1. 哈尔滨师范大学
    2. 哈尔滨理工大学
  • 收稿日期:2020-05-13 修回日期:2020-08-05 出版日期:2021-02-28 发布日期:2021-03-28
  • 通讯作者: 张婧婷 E-mail:zjt7266@163.com
  • 基金资助:
    国家自然科学基金;黑龙江自然科学基金项目;哈尔滨市科技创新人才研究专项资金

Research on location privacy protection method of sensor-cloud base station

ZHAO GUOSHENG1, 2, Zhang Jingting1, Jian WANG1   

  1. 1. College of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China 2. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
  • Received:2020-05-13 Revised:2020-08-05 Online:2021-02-28 Published:2021-03-28
  • Supported by:

    oundation of China ( 61202458, 61403109 ), the Natural Science Foundation of Heilongjiang Province of China

    (LH2020F034 ), and the Harbin Science and Technology Innovation Research Funds (2016RAQXJ036).

摘要:

In view of the privacy security issues such as location information leakage in the interaction process between the base station and the sensor nodes in the sensor-cloud system, a base station location privacy protection algorithm based on local differential privacy (LDP) is proposed. Firstly, through the local obfuscation algorithm (LOA), the base station can get the data of the real location and the pseudo location by flipping a coin, and then send the data to the fog layer, then the obfuscation location domain set is obtained. Secondly, in order to reconstruct the location distribution of the real location and the pseudo location in the base station, the location domain of the base station is divided into several decentralized sub-regions, and a privacy location reconstruction algorithm ( PLRA) is performed in each sub-region. Finally, the base station correlates the location information of each sub-region, and

then uploads the data information containing the disturbance location to the fog node layer. The simulation results show that compared with the existing base station location anonymity and security technique (BLAST) algorithm, the proposed method not only reduce the algorithm's running time and network delay, but also improve the data availability. So the proposed method can protect the location privacy of the base station more safely and efficiently.

关键词:

sensor-cloud, base station location, local differential privacy, obfuscation algorithm, location reconstruction

Abstract:

In view of the privacy security issues such as location information leakage in the interaction process between the base station and the sensor nodes in the sensor-cloud system, a base station location privacy protection algorithm based on local differential privacy (LDP) is proposed. Firstly, through the local obfuscation algorithm (LOA), the base station can get the data of the real location and the pseudo location by flipping a coin, and then send the data to the fog layer, then the obfuscation location domain set is obtained. Secondly, in order to reconstruct the location distribution of the real location and the pseudo location in the base station, the location domain of the base station is divided into several decentralized sub-regions, and a privacy location reconstruction algorithm ( PLRA) is performed in each sub-region. Finally, the base station correlates the location information of each sub-region, and

then uploads the data information containing the disturbance location to the fog node layer. The simulation results show that compared with the existing base station location anonymity and security technique (BLAST) algorithm, the proposed method not only reduce the algorithm's running time and network delay, but also improve the data availability. So the proposed method can protect the location privacy of the base station more safely and efficiently.

In view of the privacy security issues such as location information leakage in the interaction process between the base station and the sensor nodes in the sensor-cloud system, a base station location privacy protection algorithm based on local differential privacy is proposed. Firstly, through the local obfuscation algorithm, the base station can get the data of the real location and pseudo location data by flipping a coin, and send it to the fog layer, then the obfuscation location domain set is obtained. Secondly, the location domain of the base station is divided into several decentralized sub-regions, and a privacy location reconstruction algorithm is performed in each sub-region, in order to reconstruct the location distribution of the real location and pseudo location in the base station. Finally, correlating the location information of each sub-region, the base station uploads the data information containing the disturbance location to the fog node layer. The simulation results show that compared with the existing BLAST algorithm, the proposed method not only reduce the algorithm’s running time and network delay, but also improve the data availability, so it can protect the location privacy of the base station more safely and efficiently.

Key words:

sensor-cloud, base station location, local differential privacy, obfuscation algorithm, location reconstruction

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