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A Secure Data E-Governance for Healthcare Application in Cyber Physical Systems

Author

Listed:
  • Geetanjali Rathee

    (Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, India)

  • Hemraj Saini

    (School of Computing, DIT University, Dehradun, India)

  • Sahil Garg

    (Electrical Engineering Department, École de Technologie Supérieure, Montréal, Canada & Centre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, India)

  • Bong Jun Choi

    (School of Computer Science and Engineering, Soongsil University, Seoul, South Korea)

  • Mohammad Mehedi Hassan

    (Department of Information Systems, King Saud University, Riyadh, Saudi Arabia)

Abstract

The bio-medical devices gather patient information and communicate it to data consumers via wireless networks to take the appropriate action and decision by informing the doctors. However, IoMT is adopted by healthcare departments with a greater speed, yet the majority of devices are limited to resource constraints and security perspectives. The classical e-healthcare systems that are centric have the inherent problem of single-point failure with low transparency and low control over records. Many proposals have been validated in IoT for addressing the inadequate computing and storage of records through sensors. The main focus of this paper is to propose a novel hybrid architecture called Zero Trust Blockchain Architecture for decentralized E-health-CPS systems to support low latency along with storage and processing of records while monitoring the patients. In addition, a probability distribution function may further draft an accurate and real-time monitoring of patients. The proposed mechanism is analyzed against adequate decision, storage, accuracy and transmission of records.

Suggested Citation

  • Geetanjali Rathee & Hemraj Saini & Sahil Garg & Bong Jun Choi & Mohammad Mehedi Hassan, 2024. "A Secure Data E-Governance for Healthcare Application in Cyber Physical Systems," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 20(1), pages 1-18, January.
  • Handle: RePEc:igg:jswis0:v:20:y:2024:i:1:p:1-18
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    References listed on IDEAS

    as
    1. Ledyard Tucker, 1966. "Some mathematical notes on three-mode factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 31(3), pages 279-311, September.
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