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

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 extraction of...

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Bibliografiska uppgifter

Huvudupphov:	J. Jayapradha, Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf, M. Prakash, Mueen Uddin, Maha Abdelhaq, Raed Alsaqour
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2024-09-01
Serie:	Egyptian Informatics Journal
Ämnen:	Privacy-preserving Semi-sensitive attribute Fuzzy c-means clustering Identity disclosure Attribute disclosure Membership disclosure
Länkar:	http://www.sciencedirect.com/science/article/pii/S1110866524000483
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