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- Title
Integrated Privacy Preserving Healthcare System Using Posture-Based Classifier in Cloud.
- Authors
Kumar, C. Santhosh; Kumar, K. Vishnu
- 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 edgecloud 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.
- Subjects
ONLINE data processing; PARKINSON'S disease; PRIVACY; VIDEO processing; MEDICAL care; CLOUD storage
- Publication
Intelligent Automation & Soft Computing, 2023, Vol 35, Issue 3, p2893
- ISSN
1079-8587
- Publication type
Article
- DOI
10.32604/iasc.2023.029669