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ARTICLE

Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud

C. Santhosh Kumar1, K. Vishnu Kumar2,*

1 Department of Computer Science and Engineering, Priyadarshini Engineering College, 635751, Tamilnadu, India
2 Department of Computer Science and Engineering, KPR Institute of Engineering & Technology, Coimbatore, 641407, India

* Corresponding Author: K. Vishnu Kumar. Email:

Intelligent Automation & Soft Computing 2023, 35(3), 2893-2907. https://doi.org/10.32604/iasc.2023.029669

Abstract

Privacy-preserving online disease prediction and diagnosis are critical issues in the emerging edge-cloud-based healthcare system. Online patient data processing from remote places may lead to severe privacy problems. Moreover, the existing cloud-based healthcare system takes more latency and energy consumption during diagnosis due to offloading of live patient data to remote cloud servers. Solve the privacy problem. The proposed research introduces the edge-cloud enabled privacy-preserving healthcare system by exploiting additive homomorphic encryption schemes. It can help maintain the privacy preservation and confidentiality of patients’ medical data during diagnosis of Parkinson’s disease. In addition, the energy and delay aware computational offloading scheme is proposed to minimize the uncertainty and energy consumption of end-user devices. The proposed research maintains the better privacy and robustness of live video data processing during prediction and diagnosis compared to existing healthcare systems.

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Cite This Article

C. Santhosh Kumar and K. V. Kumar, "Integrated privacy preserving healthcare system using posture-based classifier in cloud," Intelligent Automation & Soft Computing, vol. 35, no.3, pp. 2893–2907, 2023.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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