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

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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Bibliographic Details
Main Authors: J. Jayapradha, Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf, M. Prakash, Mueen Uddin, Maha Abdelhaq, Raed Alsaqour
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Egyptian Informatics Journal
Subjects:
Privacy-preserving
Semi-sensitive attribute
Fuzzy c-means clustering
Identity disclosure
Attribute disclosure
Membership disclosure
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524000483

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http://www.sciencedirect.com/science/article/pii/S1110866524000483

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