Abstract
Due to the gradual application of 5G, Internet of things, the smart transportation and telemedicine, etc., the explosive growth of data volume brings challenges as well as opportunities. While the big data brings more economic benefits, the security issues have become more severe. In response to this problem, this paper proposes a privacy protection method for the big data oriented to user location. It firstly designs a big data system model for user location. Then a game theory based privacy protection algorithm for user location is proposed. The core idea of the algorithm is to allow users who generate virtual paths to obtain some certain benefits through the game method. Furthermore, this paper gives the detailed steps of the algorithm. Finally, the validity of the method is established via simulation and analysis.
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Acknowledgement
This paper is supported by the science and technology project of State Grid Jiangsu Electric Power Co., Ltd.: “Research and application of key technology for power marketing sensitive data security protection” (Grand No. J2020007).
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Zou, Y., Yu, P., Shan, C., Wu, M. (2021). Research on the Sensitive Data Protection Method Based on Game Theory Algorithm. In: Tian, Y., Ma, T., Khan, M.K. (eds) Big Data and Security. ICBDS 2020. Communications in Computer and Information Science, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-3150-4_21
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DOI: https://doi.org/10.1007/978-981-16-3150-4_21
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