A Framework for Identity Management System Using Blockchain

Identification is a significant aspect of an individual and a nation, as it contains confidential information, including dates of birth, biometric data, photographs, and unique identification numbers that can recognize and authenticate identities. With the growing reliance on centralized servers for database storage, the vulnerability of sensitive data has increased significantly. Malicious entities have exploited security gaps to gain unauthorized access, manipulate, and alter information. This breach compromises the integrity of the data and poses a significant threat to national security. Blockchain technology optimizes the reliability of data transferred over a network by providing strong security, increased transparency, and efficient information tracking. Incorporating this technology into our system would significantly increase trust, ensuring the security and reliability of the system. This research seeks to improve the security of identity systems through blockchain technology. We are using Ethereum smart contracts to secure identification data and testing using Remix IDE, which will simulate real-world scenarios involving numerous users and wallets. The system ensures scalability by leveraging Ethereum smart contracts for efficient management of increasing number of users and data, while decentralized blockchain technology overcomes the limitations of centralized systems by offering anonymity, integrity, immutability, trust, confidentiality, and cost-effective processing and storage.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ecce64574.2025.11013798
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Framework for Identity Management System Using Blockchain

Md. Nazrul Islam, Syada Tasmia Alvi, N. Siddique, Razve Khan Tanmoy
Blockchain Technology Applications and Security
article

A Framework for Identity Management System Using Blockchain

Md. Nazrul Islam, Syada Tasmia Alvi, N. Siddique, Razve Khan Tanmoy
article en

Abstract

Identification is a significant aspect of an individual and a nation, as it contains confidential information, including dates of birth, biometric data, photographs, and unique identification numbers that can recognize and authenticate identities. With the growing reliance on centralized servers for database storage, the vulnerability of sensitive data has increased significantly. Malicious entities have exploited security gaps to gain unauthorized access, manipulate, and alter information. This breach compromises the integrity of the data and poses a significant threat to national security. Blockchain technology optimizes the reliability of data transferred over a network by providing strong security, increased transparency, and efficient information tracking. Incorporating this technology into our system would significantly increase trust, ensuring the security and reliability of the system. This research seeks to improve the security of identity systems through blockchain technology. We are using Ethereum smart contracts to secure identification data and testing using Remix IDE, which will simulate real-world scenarios involving numerous users and wallets. The system ensures scalability by leveraging Ethereum smart contracts for efficient management of increasing number of users and data, while decentralized blockchain technology overcomes the limitations of centralized systems by offering anonymity, integrity, immutability, trust, confidentiality, and cost-effective processing and storage.

Daffodil International University (BD)
Openalex Percentile: Top 83%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.