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Preserving and Scrambling of Health Records with Multiple Owner Access Using Enhanced Break-Glass Algorithm

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Computer Networks, Big Data and IoT

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 66))

Abstract

Cloud computing servers gives a stage for the clients to remotely store information and offer the information to everyone. Healthcare record management system (HRMS) has been developed as a tolerant-driven model for health-related data exchange. Classification of the common information, i.e., visit details, report details, etc., remains as a serious issue when patients utilize public cloud servers since it might be viewed by everyone. To guarantee the patient’s control over admittance to their own uncommon well-being records, it is a promising technique to encode the reports before redistributing and pick up the gain power to that data. Security introduction, adaptability in key association, and flexible access experience have remained the most essential difficulties toward accomplishing fine-grained, cryptographically endorsed data get the opportunity to control. This research work proposes an arrangement of systems for information get to control to healthcare record management system (HRMS) put away in outsider servers with classification of data into public and private data. In HRMS for accomplishing smooth and adaptable information get the chance to control, attribute-based encryption (ABE) methodologies are utilized to encode each patient’s HRMS record for getting to. While providing secure data outsourcing, the main concentration is the multiple owners of data. On account of this framework significantly diminishes the key administration unpredictability for information owners and clients, HRMS ensured a high level of patient security. With respect to emergency situations, a break-glass extraction method is introduced here to access the data in emergency situations with authorized keys.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Ramrao Adik Institute of Technology, Nerul Navi, Mumbai, India

    Kshitij U. Pimple & Nilima M. Dongre

Authors
  1. Kshitij U. Pimple
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  2. Nilima M. Dongre
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Editor information

Editors and Affiliations

  1. Department of CSE, KGiSL Institute of Technology, Coimbatore, India

    A.Pasumpon Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. Edith Cowan University (ECU), Joondalup, WA, Australia

    Syed Mohammed Shamsul Islam

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Pimple, K.U., Dongre, N.M. (2021). Preserving and Scrambling of Health Records with Multiple Owner Access Using Enhanced Break-Glass Algorithm. In: Pandian, A., Fernando, X., Islam, S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_38

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  • DOI: https://doi.org/10.1007/978-981-16-0965-7_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0964-0

  • Online ISBN: 978-981-16-0965-7

  • eBook Packages: EngineeringEngineering (R0)

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