F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes

Attaullah, Hasina, Anjum, Adeel, Kanwal, Tehsin, Malik, Saif Ur Rehman, Asheralieva, Alia, Malik, Hassan, Zoha, Ahmed, Arshad, Kamran and Imran, Muhammad Ali (2021) F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes. Sensors, 21 (14). ISSN 1424-8220

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Abstract

With the advent of smart health, smart cities, and smart grids, the amount of data has grown swiftly. When the collected data is published for valuable information mining, privacy turns out to be a key matter due to the presence of sensitive information. Such sensitive information comprises either a single sensitive attribute (an individual has only one sensitive attribute) or multiple sensitive attributes (an individual can have multiple sensitive attributes). Anonymization of data sets with multiple sensitive attributes presents some unique problems due to the correlation among these attributes. Artificial intelligence techniques can help the data publishers in anonymizing such data. To the best of our knowledge, no fuzzy logic-based privacy model has been proposed until now for privacy preservation of multiple sensitive attributes. In this paper, we propose a novel privacy preserving model F-Classify that uses fuzzy logic for the classification of quasi-identifier and multiple sensitive attributes. Classes are defined based on defined rules, and every tuple is assigned to its class according to attribute value. The working of the F-Classify Algorithm is also verified using HLPN. A wide range of experiments on healthcare data sets acknowledged that F-Classify surpasses its counterparts in terms of privacy and utility. Being based on artificial intelligence, it has a lower execution time than other approaches.

Item Type:	Article
Additional Information:	Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article.
Uncontrolled Keywords:	(p, k) angelization,dcp,f-classify,membership function,msa,mst,qt,analytical chemistry,information systems,atomic and molecular physics, and optics,biochemistry,instrumentation,electrical and electronic engineering,sdg 7 - affordable and clean energy,sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1600/1602
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	03 Jul 2025 10:30
Last Modified:	14 Jul 2025 12:33
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99827
DOI:	10.3390/s21144933

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