Enhancing Security and Privacy Preservation of Sensitive Information in e-Health Datasets Using FCA Approach

Hamdi, H. orcid.org/0000-0002-9024-9699, Brahmi, Z., Alaerjan, A.S. orcid.org/0000-0003-2926-6083 et al. (1 more author) (2023) Enhancing Security and Privacy Preservation of Sensitive Information in e-Health Datasets Using FCA Approach. IEEE Access, 11. pp. 62591-62604. ISSN 2169-3536

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Item Type: Article
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This item is protected by copyright. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords: Healthcare process data; security and privacy; sensitive itemsets; data anonymization and sanitization; formal concept analysis (FCA)
Dates:
  • Published: 12 June 2023
  • Published (online): 12 June 2023
  • Accepted: 28 May 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Mar 2024 10:32
Last Modified: 21 Mar 2024 10:32
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/access.2023.3285407
Open Archives Initiative ID (OAI ID):

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