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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

TrustChain -  A secure digital voting framework

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* Corresponding author · click or hover a name for details

pp. 645–672Vol. 47Issue 2February 2026DOI: 10.47974/JIOS-2117XML
Received:
08 Apr 2025
Published Online:
02 Feb 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2117
Pages:
645–672

Abstract

Electronic voting has several advantages in terms of accessibility, effectiveness, and security, it is nevertheless susceptible to ballot tampering, impersonation, and multiple voting. The main difficulty is striking a balance between voter anonymity and transparency. Blockchain based systems improve verifiability and trust, but they frequently jeopardize privacy. To overcome these limitations we propose TrustChain, a blockchain based system that combines a Merkle Root based Tracking ID, a multi-chain Ethereum architecture, and real time facial recognition in order to get around these restrictions. Ethereum guarantees immutability and tamper resistance, while a lightweight Firebase pseudo blockchain handles registration and authentication, allowing for scalable and effective verification. Performance is enhanced by this decoupled design without compromising privacy or security. Candidate specific chains reduce congestion while guaranteeing tamper proof recording, tracking IDs maintain vote integrity without disclosing identities, and facial recognition restrict illegitimate access. Tests show a 45% faster voting process, while maintaining strong security and privacy. 

Keywords

Subject Classifications

68M2594A6068P27

References

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