A privacy preserving distributed ledger framework for global human resource record management: The blockchain aspect

Tai Hoon Kim, Gulshan Kumar, Rahul Saha, Mritunjay Kumar Rai, William J. Buchanan, Reji Thomas, Mamoun Alazab

    Research output: Contribution to journalArticlepeer-review

    40 Citations (Scopus)
    72 Downloads (Pure)

    Abstract

    Blockchain is a technology used with the series of users in peer-to-peer transactions to utilize the usability properties of the immutable data records. The distributed nature of this technology has given the wide acceptance to its range of applications in various sectors. Seeing the prospect of this new technology, we have chosen the field of human resource management as these data needs to be privacy preserving and confidential along with significant research value. Distributed ledger approach is a novel idea in this field of work specifically for the application of human resource records management. We have used a privacy preserving framework that provides a transparent system for human resource record management. Wallets are generated with organization id and outputting with public-private key pair along with privacy parameter mapping with hash. Keys are used to provide confidentiality, integrity and authentication. Smart contract uses distributed but converged decision with privacy level classification. Performance of the proposed work has been measured based on time, memory consumptions, failure point identification and read-write latencies. The analysis of the results confirms the efficiency of the system.

    Original languageEnglish
    Article number9095290
    Pages (from-to)96455-96467
    Number of pages13
    JournalIEEE Access
    Volume8
    DOIs
    Publication statusPublished - 18 May 2020

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