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Secure Healthcare Data Aggregation Scheme for Internet of Things

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Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health (CyberDI 2019, CyberLife 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1137))

Abstract

Internet of things (IoT) involves massive number of smart devices that can communicate across different networks to exchange data. IoT enabled smart healthcare data is aggregated for transmitting to FoG server. Healthcare data is sensitive in nature, so there is a need to provide protection against various security attacks. This paper presents a secure healthcare based data aggregation (SHDA) scheme to transmit sensitive data from sensor nodes to collector nodes that further transmit to the FoG node. It includes a proposed model for data collection from sensing devices and aggregate at collector nodes. Next, we present the message receiving algorithm at collector node and message extraction algorithm at FoG node. SHDA is simulated using NS2.35 in Fedora Core 16 where TCL is used for node deployment and C language is used for message handling among devices. AWK script are used to get the results of simulations from trace files. Results prove the dominance of our scheme as compared to counterparts in terms of communication cost, computation cost and energy consumption.

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Authors and Affiliations

  1. Department of Computer Science, National University of Modern Languages, Islamabad, 44000, Pakistan

    Muhammad Azeem & Ata Ullah

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  1. Muhammad Azeem
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  2. Ata Ullah
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Correspondence to Ata Ullah .

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Editors and Affiliations

  1. University of Science and Technology, Beijing, China

    Huansheng Ning

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Azeem, M., Ullah, A. (2019). Secure Healthcare Data Aggregation Scheme for Internet of Things. In: Ning, H. (eds) Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. CyberDI CyberLife 2019 2019. Communications in Computer and Information Science, vol 1137. Springer, Singapore. https://doi.org/10.1007/978-981-15-1922-2_12

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  • DOI: https://doi.org/10.1007/978-981-15-1922-2_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1921-5

  • Online ISBN: 978-981-15-1922-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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