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

<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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Bibliographic Details
Main Author: J. Jayapradha (21323774) (author)
Other Authors: 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)
Published: 2024
Subjects:
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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