A deep learning-based privacy-preserving model for smart healthcare in Internet of Medical Things using fog computing

Moqurrab, Syed Atif, Tariq, Noshina, Anjum, Adeel, Asheralieva, Alia, Malik, Saif U.R., Malik, Hassan, Pervaiz, Haris and Gill, Sukhpal Singh (2022) A deep learning-based privacy-preserving model for smart healthcare in Internet of Medical Things using fog computing. Wireless Personal Communications, 126 (3). pp. 2379-2401. ISSN 0929-6212

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Abstract

With the emergence of COVID-19, smart healthcare, the Internet of Medical Things, and big data-driven medical applications have become even more important. The biomedical data produced is highly confidential and private. Unfortunately, conventional health systems cannot support such a colossal amount of biomedical data. Hence, data is typically stored and shared through the cloud. The shared data is then used for different purposes, such as research and discovery of unprecedented facts. Typically, biomedical data appear in textual form (e.g., test reports, prescriptions, and diagnosis). Unfortunately, such data is prone to several security threats and attacks, for example, privacy and confidentiality breach. Although significant progress has been made on securing biomedical data, most existing approaches yield long delays and cannot accommodate real-time responses. This paper proposes a novel fog-enabled privacy-preserving model called δrsanitizer, which uses deep learning to improve the healthcare system. The proposed model is based on a Convolutional Neural Network with Bidirectional-LSTM and effectively performs Medical Entity Recognition. The experimental results show that δr sanitizer outperforms the state-of-the-art models with 91.14% recall, 92.63% in precision, and 92% F1-score. The sanitization model shows 28.77% improved utility preservation as compared to the state-of-the-art.

Item Type:	Article
Additional Information:	This work was supported in part by the National Natural Science Foundation of China (NSFC) Project No. 61950410603.
Uncontrolled Keywords:	fog computing,internet of things,machine learning,privacy,sanitization,smart healthcare,computer science applications,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1700/1706
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/99828
DOI:	10.1007/s11277-021-09323-0

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