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

doi:10.19682/j.cnki.1005-8885.2021.0002

The Journal of China Universities of Posts and Telecommunications ›› 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

ZHAO GUOSHENG¹, ², Zhang Jingting1, Jian WANG¹

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).

Abstract

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

CLC Number:

TP309

Zhao Guosheng, Zhang Jingting, Wang Jian. Research on location privacy protection method of sensor-cloud base station[J]. The Journal of China Universities of Posts and Telecommunications, 2021, 28(1): 64-77.

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

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