Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

<p>Privacy is a significant issue that requires consideration in all applications. Data collected from various individuals and organizations must be disclosed to the public or private parties for analysis and research purposes. The collected data are studied and analyzed digitally for the extr...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	J. Jayapradha (21323774) (author)
مؤلفون آخرون:	Ghaida Muttashar Abdulsahib (17541243) (author), Osamah Ibrahim Khalaf (17541255) (author), M. Prakash (1464505) (author), Mueen Uddin (4903510) (author), Maha Abdelhaq (735574) (author), Raed Alsaqour (735575) (author)
منشور في:	2024
الموضوعات:	Health sciences Health services and systems Human society Development studies Information and computing sciences Applied computing Cybersecurity and privacy Data management and data science Privacy-preserving Semi-sensitive attribute Fuzzy c-means clustering Identity disclosure Attribute disclosure Membership disclosure Data privacy and utility
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

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