ORIGINAL RESEARCH article

Front. Blockchain

Sec. Blockchain for Good

Volume 8 - 2025 | doi: 10.3389/fbloc.2025.1596567

A Man-Vehicle e-Passport System using Biometric Blockchain towards Automated Border Control

Provisionally accepted
  • 1Lancaster University, Lancaster, United Kingdom
  • 2University of Sharjah, Sharjah, United Arab Emirates

The final, formatted version of the article will be published soon.

Since the mid-1990s, the evolution of internet technologies has significantly transformed global connectivity and digital interaction. Today, advances in computing and networking continue to support the development of emerging paradigms such as the Metaverse and digital twins—concepts that aspire to bridge physical and digital experiences. Parallel to this, blockchain technology is reshaping traditional notions of trust by enabling immutable transaction records and smart contract automation, thereby fostering the rise of decentralized autonomous organizations (DAOs). Building on these foundations, this study presents a biometric blockchain-based e-passport system designed to improve the operational efficiency of automated border control (ABC) systems. At the core of our approach is the concept of a DAO-inspired framework for border control, wherein identity verification and management tasks are executed through atomic smart contracts and recorded immutably on the blockchain. Our system incorporates biometric authentication and decentralized identity features to digitize border documentation and automate verification processes. This creates a secure, verifiable digital representation of an individual’s identity that can interact with automated border control workflows. Performance evaluations conducted using Hyperledger Caliper demonstrate the potential of the proposed system, showing a 3.5-fold improvement in processing efficiency compared to traditional ABC setups.

Keywords: Brexit, ePassport, Blockchain, biometrics, Metaverse, Digital Twin, Automated border control

Received: 19 Mar 2025; Accepted: 04 Jun 2025.

Copyright: © 2025 Xu, Bouridane, Ni and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Richard Jiang, Lancaster University, Lancaster, United Kingdom

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.