Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees

The Blockchain-based Decentralized Identity Management System (BDIMS) is an innovative framework designed for digital identity management, utilizing the unique attributes of blockchain technology. The BDIMS categorizes entities into three distinct groups: identity providers, service providers, and end-users. The system’s efficiency in identifying and extracting information from identification cards is enhanced by the integration of artificial intelligence (AI) algorithms. These algorithms decompose the extracted fields into smaller units, facilitating optical character recognition (OCR) and user authentication processes. By employing Merkle Trees, the BDIMS ensures secure authentication with service providers without the need to disclose any personal information. This advanced system empowers users to maintain control over their private information, ensuring its protection with maximum effectiveness and security. Experimental results confirm that the BDIMS effectively mitigates identity fraud while maintaining the confidentiality and integrity of sensitive data.

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Publication Details

Journal
Computers
Published
2025-07-18
DOI
https://doi.org/10.3390/computers14070289
Citations
5
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
16.23
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article

Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees

Tadashi Nakano, Hoang Viet Anh Le, Quoc Duy Nam Nguyen, Thi Hong Tran
5 citations
Computers
Blockchain Technology Applications and Security
16.23
article

Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees

Tadashi Nakano, Hoang Viet Anh Le, Quoc Duy Nam Nguyen, Thi Hong Tran
article en
5 citations

Abstract

The Blockchain-based Decentralized Identity Management System (BDIMS) is an innovative framework designed for digital identity management, utilizing the unique attributes of blockchain technology. The BDIMS categorizes entities into three distinct groups: identity providers, service providers, and end-users. The system’s efficiency in identifying and extracting information from identification cards is enhanced by the integration of artificial intelligence (AI) algorithms. These algorithms decompose the extracted fields into smaller units, facilitating optical character recognition (OCR) and user authentication processes. By employing Merkle Trees, the BDIMS ensures secure authentication with service providers without the need to disclose any personal information. This advanced system empowers users to maintain control over their private information, ensuring its protection with maximum effectiveness and security. Experimental results confirm that the BDIMS effectively mitigates identity fraud while maintaining the confidentiality and integrity of sensitive data.

ComputersVol. 14(7)
Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
16.23
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Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees — Tadashi Nakano, Hoang Viet Anh Le, et al. · Computers (2025) | TGRS Research Map | TGRS