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A localization and tracking scheme for target gangs based on big data of Wi-Fi locations

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Abstract

The modeling and analysis of target gangs’ usual haunts plays a very important role in law enforcement and supervision. Existing localization and tracking schemes usually need to deploy a large number of monitoring devices or continue to move with the target, which lead to high cost. In this paper, a localization and tracking scheme based on big data of Wi-Fi locations is proposed. Firstly, the characteristic of the smart mobile device that continuously broadcasts probe request frames is used to obtain its MAC address and Wi-Fi connection history. Secondly, the service set identifier (SSID) in the Wi-Fi connection history of smart mobile devices held by the target gangs are queried from the Wi-Fi location database, and the target gangs’ usual haunts are gained by statistical analysis. Lastly, monitoring devices are deployed in these places, and most of the target gangs’ activity pattern are known with only a small number of monitoring devices. The results of the related experimental tests demonstrate the feasibility of the proposed scheme.

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Acknowledgements

The National Key R&D Program of China (Nos. 2016YFB0801303, 2016QY01W0105), the National Natural Science Foundation of China (Nos. U1636219, 61379151, 61401512, 61572052) and the Key Technologies R&D Program of Henan Province (No. 162102210032) support the work presented in this paper.

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Authors and Affiliations

  1. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China

    Fan Zhao, Wenqi Shi, Ziru Peng & Xiangyang Luo

  2. Zhengzhou Science and Technology Institute, Zhengzhou, China

    Fan Zhao, Wenqi Shi, Ziru Peng & Xiangyang Luo

  3. Zhengzhou University of Light Industry, Zhengzhou, China

    Yong Gan

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  1. Fan Zhao
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  2. Wenqi Shi
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Correspondence to Xiangyang Luo.

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Zhao, F., Shi, W., Gan, Y. et al. A localization and tracking scheme for target gangs based on big data of Wi-Fi locations. Cluster Comput 22 (Suppl 1), 1679–1690 (2019). https://doi.org/10.1007/s10586-018-1737-7

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