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All Journal Journal of Information Systems and Informatics The Indonesian Journal of Computer Science
Makura, Sheunesu
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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Digital Forensic-Ready Voting Model Muyambo, Edmore; Baror, Stacey; Makura, Sheunesu
The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i6.5019

Abstract

The increasing digitalization of elections through internet-based voting (e-voting) systems introduces both opportunities for enhanced accessibility and threats to electoral integrity. Existing electronic voting systems often lack built-in forensic capabilities necessary to detect, preserve, and prove incidents of vote rigging or cyber manipulation. This paper proposes a Digital Forensic-Ready Voting Model (DFRVM) that integrates forensic-by-design principles, blockchain technology, and legal admissibility frameworks to ensure accountability, transparency, and verifiability in the electoral process. The model emphasizes proactive evidence collection, real-time monitoring, and tamper-evident audit trails to strengthen post-election dispute resolution.
Co-Authors Baror, Stacey Dobson, Caden Muyambo, Edmore Rananga, Seani