Research on a GDK-means based release privacy information protection algorithm for poor students

Xiaona Liu; Kai Wang; Chengde Wang; Yanqiang Xu

doi:10.1117/12.2686048

28 July 2023 Research on a GDK-means based release privacy information protection algorithm for poor students

Xiaona Liu, Kai Wang, Chengde Wang, Yanqiang Xu

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564D (2023) https://doi.org/10.1117/12.2686048
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

In the process of funding poor students, in order to ensure openness and fairness, colleges and universities will obtain many key privacy data of relevant students, such as poverty causes, student sources, family income, family members, school consumption and other sensitive privacy data. At the same time, the results of the funding also require disclosure to ensure the fairness of the management process. Aiming at the contradiction between disclosure and privacy protection in the data release of poor students, a privacy protection method based on GDK-Means is proposed. Under this algorithm, sensitive data can be generalized within the cluster on the basis of K-Means clustering, so as to de-privacy the published data, so as to achieve the purpose of user privacy protection, and quantify the degree of information loss caused by processing. Through theoretical analysis and experiments, it is verified that the GDK-Means algorithm can achieve better privacy protection in data publishing under the premise of ensuring data availability.

Citation Download Citation

Xiaona Liu, Kai Wang, Chengde Wang, and Yanqiang Xu "Research on a GDK-means based release privacy information protection algorithm for poor students", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564D (28 July 2023); https://doi.org/10.1117/12.2686048

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