K-anonymity model for privacy-preserving soccer fitness data publishing

Rong Li; Shushan An; Dong Li; Jian Dong; Wanjian Bai; Hongmei Li; Zhiming Zhang; Qingyang Lin

doi:10.1051/matecconf/201818903007

All issues

Volume 189 (2018)

MATEC Web Conf., 189 (2018) 03007

References

Open Access

Issue		MATEC Web Conf. Volume 189, 2018 2018 2^nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)


Article Number		03007
Number of page(s)		6
Section		Cloud & Network
DOI		https://doi.org/10.1051/matecconf/201818903007
Published online		10 August 2018

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[1] Benjamin C M Fung, Ke Wang, Rui Chen, and Philip S Yu. Privacy preserving data publishing: A survey of recent developments. ACM Computing Surveys, 42(4):14, 2010. [Google Scholar]

[2] Alessio Rossi, Luca Pappalardo, Paolo Cintia, Marcello Iaia, Javier Fernandez, and Daniel Medina. Effective injury prediction in professional soccer with gps data and machine learning. 2017. [Google Scholar]

[3] Latanyasweeney. k-anonymity: A model for protecting privacy. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 10(05):557–570, 2002. [CrossRef] [Google Scholar]

[4] LATANYA Sweeney. Achieving k-anonymity privacy protection using generalization and suppression. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(05):571–588, 2002. [CrossRef] [Google Scholar]

[5] Roberto J Bayardo and Rakesh Agrawal. Data privacy through optimal kanonymization. In International Conference on Data Engineering, 2005. ICDE 2005. Proceedings, pages 217–228, 2005. [Google Scholar]

[6] Kristen Lefevre, David J. Dewitt, and Raghu Ramakrishnan. Incognito: efficient fulldomain k-anonymity. In ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, Usa, June, pages 49–60, 2005. [Google Scholar]

[7] Kristen Lefevre, David J. Dewitt, and Raghu Ramakrishnan. Mondrian multidimensional k-anonymity. In International Conference on Data Engineering, pages 25–25, 2006. [Google Scholar]

[8] Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, and Wai Chee Fu. Utilitybased anonymization using local recoding. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 785–790, 2006. [Google Scholar]