A Contribution to Blockchain Privacy

As a new distributed point-to-point (P2P) technology, blockchain has become a very broad field of research, addressing various challenges including privacy preserving as is the case in all other technologies. In this work, a study of the existing solutions to the problems related to private life in general and in blockchains in particular is performed. User anonymity and transaction confidentiality are the two main challenges for the protection of privacy in blockchains. Mixing mechanisms and cryptographic solutions respond to this problem but remain subject to attacks and suffer from shortcomings. Taking into account these imperfections and the synthesis of our study, we present a mixing model without trusted third parties, based on group signatures allowing reinforcing the anonymity of the users, the confidentiality of the transactions, with minimal turnaround time and without mixing costs.

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Publication Details

Journal
International Journal of Computational and Applied Mathematics & Computer Science
Published
2025-07-16
DOI
https://doi.org/10.37394/232028.2025.5.4
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A Contribution to Blockchain Privacy

Malika Yaici, Feriel Lalaoui, Lydia Belhoul
International Journal of Computational and Applied Mathematics & Computer Science
Blockchain Technology Applications and Security
article

A Contribution to Blockchain Privacy

Malika Yaici, Feriel Lalaoui, Lydia Belhoul
article en

Abstract

As a new distributed point-to-point (P2P) technology, blockchain has become a very broad field of research, addressing various challenges including privacy preserving as is the case in all other technologies. In this work, a study of the existing solutions to the problems related to private life in general and in blockchains in particular is performed. User anonymity and transaction confidentiality are the two main challenges for the protection of privacy in blockchains. Mixing mechanisms and cryptographic solutions respond to this problem but remain subject to attacks and suffer from shortcomings. Taking into account these imperfections and the synthesis of our study, we present a mixing model without trusted third parties, based on group signatures allowing reinforcing the anonymity of the users, the confidentiality of the transactions, with minimal turnaround time and without mixing costs.

International Journal of Computational and Applied Mathematics & Computer ScienceVol. 5
University of Béjaïa (DZ)
Openalex Percentile: Top 74%
Blockchain Technology Applications and Security
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