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.
Highlights
The present computing technology has shifted its paradigm from centralized to the distributed one
Kim et al.: Privacy Preserving Distributed Ledger Framework for Global Human Resource Records (HRRs) Management: The Blockchain Aspect sex and racial features employees work with their ability of working
The access of HRR is based on the data privacy levels and the conditions of the smart contracts have been programmed with these privacy levels only
Summary
The present computing technology has shifted its paradigm from centralized to the distributed one. Kim et al.: Privacy Preserving Distributed Ledger Framework for Global HRR Management: The Blockchain Aspect sex and racial features employees work with their ability of working. To hire these employees for an organization, rigorous recruitment processes are executed which include different mathematical, philosophical and statistical approximation models [8]. To ensure the privacy along with the proper verification and validation of the employee background, a human resource management system is need of the technology which have transparent and distributed verification and validation provision.
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