Shuffled differential privacy protection method for K-Modes clustering data collection and publication

Aiming at the current problem of insufficient security in clustering data collection and publication, in order to protect user privacy and improve data quality in clustering data, a privacy protection method for K-Modes clustering data collection and publication was proposed without trusted third pa...

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Autors principals:	Weijin JIANG, Yilin CHEN, Yuqing HAN, Yuting WU, Wei ZHOU, Haijuan WANG
Format:	Artigo
Idioma:	Chinês
Publicat:	Editorial Department of Journal on Communications 2024-01-01
Col·lecció:	Tongxin xuebao
Matèries:	shuffled differential privacy;K-Modes clustering;privacy protection;data collection;data publication
Accés en línia:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2024004
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