Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches Article Swipe
Tehsin Kanwal
,
Hasina Attaullah
,
Adeel Anjum
,
Abid Khan
,
Gwanggil Jeon
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.dcan.2022.09.025
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.dcan.2022.09.025
The inability of traditional privacy-preserving models to protect multiple datasets based on sensitive attributes has prompted researchers to propose models such as SLOMS, SLAMSA, (p, k)-Angelization, and (p, l)-Angelization, but these were found to be insufficient in terms of robust privacy and performance. (p, l)-Angelization was successful against different privacy disclosures, but it was not efficient. To the best of our knowledge, no robust privacy model based on fuzzy logic has been proposed to protect the privacy of sensitive attributes with multiple records. In this paper, we suggest an improved version of (p, l)-Angelization based on a hybrid AI approach and privacy-preserving approach like Generalization. Fuzz-classification (p, l)-Angel uses artificial intelligence based fuzzy logic for classification, a high-dimensional segmentation technique for segmenting quasi-identifiers and multiple sensitive attributes. We demonstrate the feasibility of the proposed solution by modelling and analyzing privacy violations using High-Level Petri Nets. The results of the experiment demonstrate that the proposed approach produces better results in terms of efficiency and utility.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.dcan.2022.09.025
- OA Status
- diamond
- Cited By
- 3
- References
- 68
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- OpenAlex ID
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- OpenAlex ID
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https://openalex.org/W4304690262Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.dcan.2022.09.025Digital Object Identifier
- Title
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Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breachesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-12Full publication date if available
- Authors
-
Tehsin Kanwal, Hasina Attaullah, Adeel Anjum, Abid Khan, Gwanggil JeonList of authors in order
- Landing page
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https://doi.org/10.1016/j.dcan.2022.09.025Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.dcan.2022.09.025Direct OA link when available
- Concepts
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Computer science, Fuzzy logic, Identifier, Generalization, Artificial intelligence, Data mining, Segmentation, Machine learning, Mathematics, Programming language, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2023: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5049449184 |
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