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A bio-inspired privacy-preserving framework for healthcare systems

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Abstract

Wireless computing has revolutionized our life with the technological advancement from the traditional networking into a new epoch for communication in ad hoc decorum. An energy efficient network of sensors based on wireless communication and networking principles can enhance the effectiveness of computing during unpredictable circumstances. If a computable required resource is readily available within the reachable region and it is identified to be idle and it is ready to share the corresponding information from its end without affecting the normal behavior of the device or the node, then there exists an opportunity to utilize those resources for computing. Opportunistic computing has a great potential of growth in the field of wireless ad hoc network computing. In traditional network computing technology, mobile computing, grid computing, distributed computing, ubiquitous computing and cloud computing, formerly ensues the communication with minimal resources currently available at the terminal point. This paper proposes a novel framework for an effective utilization of sharable resources, which are available within the reachable region, by creating an opportunity to frame an opportunistic computing while preserving the user’s privacy. The proposed framework adopts a bio-inspired technique for identifying and collecting resources information, and thereby recognizes which resource is ready to participate in the opportunistic computing. Experimental results of a system that implements the bio-inspired technique along with the natural behavior of the bee colony approach was analyzed and found that the proposed system shows comparatively high performance in terms of computation resource searching, identifying, emergency data transfer, and participative node privacy preserving.

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This Research Received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, Madanapalle, India

    Chandramohan Dhasarathan

  2. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

    Manish Kumar

  3. Department of IT and Engineering, Amity University, Tashkent, India

    Atul Kumar Srivastava

  4. Department of Artificial Intelligence Engineering, Research Center for AI and IoT, Near East University, Nicosia, Mersin 10, Turkey

    Fadi Al-Turjman

  5. Department of Computer Science and Engineering, Amity University, Uttar Pradesh, Noida, India

    Achyut Shankar

  6. Department of Computer Science and Engineering, UPES, Dehradun, India

    Manoj Kumar

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The authors have proposed a novel framework for an effective utilization of sharable resources, which are available within the reachable region, by creating an opportunity to frame an opportunistic computing while preserving the user’s privacy.

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Correspondence to Achyut Shankar.

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Dhasarathan, C., Kumar, M., Srivastava, A.K. et al. A bio-inspired privacy-preserving framework for healthcare systems. J Supercomput 77, 11099–11134 (2021). https://doi.org/10.1007/s11227-021-03720-9

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