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BB-CSP: An Efficient Blockchain-Based Collective Salary Payment Framework Using Weighted Functional Encryption

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Abstract

Privacy is a primary consideration when connecting computer networks and utilizing Internet-based financial services. Large companies with a substantial workforce want to pay their employees fairly, efficiently, and securely via the Internet. Malicious users attempt to commit fraud to obtain sensitive information about businesses/users or steal their money. As the main contribution of this study, Weighted Functional Encryption (WFE) scheme as an advanced cryptographic tool is proposed. Initially, the paper introduces the central assumption and the security features that the random oracle (RO) model should support. As a practical example, the paper then defines a framework for efficient, reliable, and secure salary payment via blockchain technology, dubbed blockchain-based collective salary payment (BB-CSP). The BB-CSP framework is predicated on the presence of a practicable WFE scheme. The BB-CSP framework is then analyzed in light of the defined security features of the assumed WFE scheme. The analysis of the BB-CSP framework demonstrates that it ensures salary confidentiality, security, fairness, and efficiency.

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Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

We as authors appreciate anonymous reviewers for their valuable comments on this work.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Science and Research Branch Islamic Azad University, Tehran, Iran

    Saeed Banaeian Far & Maryam Rajabzade Asaar

  2. Department of Electrical Engineering, Yadegar-e-Imam Khomeini (rah), Shahr-e-Rey Branch Islamic Azad University, Tehran, Iran

    Azadeh Imani Rad

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Banaeian Far, S., Imani Rad, A. & Rajabzade Asaar, M. BB-CSP: An Efficient Blockchain-Based Collective Salary Payment Framework Using Weighted Functional Encryption. SN COMPUT. SCI. 3, 408 (2022). https://doi.org/10.1007/s42979-022-01330-7

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