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VOTUM: Secure and Transparent E-Voting System

  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Elections are an essential part of citizens’ rights, and they are also conducted in universities and colleges to ensure transparent selection of ideal authorities while preventing identity fraud and information loss among voters. It is worth noting that Internet voting has gained significant attention in recent years, with many organizations worldwide planning to experiment with and implement it. To address these challenges, we propose VOTUM, a free fraud e-voting system that incorporates two authentication methods: facial recognition and one-time password (OTP). Additionally, the system employs two cryptographic algorithms to encrypt voters’ information throughout the voting process and generates a unique code to verify the successful casting of votes. VOTUM's design is creative, flexible, colorful, and animated, aiming to encourage students and professors to fulfill their civic duty by participating in elections. Through interviews conducted with 31 students and university professors, we achieved a 90% trust level and a 15% margin of error to assess satisfaction with transparency, trust, and user experience within the VOTUM system. The results indicated a satisfaction level of over 90%, showing the significant contribution of this research in enhancing trust and transparency in the voting processes of universities and colleges.

Original languageEnglish
Title of host publicationProceedings of 9th International Congress on Information and Communication Technology - ICICT 2024, London
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages89-99
Number of pages11
ISBN (Print)9789819745807
DOIs
StatePublished - 2024
Event9th International Congress on Information and Communication Technology, ICICT 2024 - London, United Kingdom
Duration: 19 Feb 202422 Feb 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1011 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Congress on Information and Communication Technology, ICICT 2024
Country/TerritoryUnited Kingdom
CityLondon
Period19/02/2422/02/24

Keywords

  • Amazon Rekognition
  • E-voting
  • Face recognition voting
  • Facial recognition
  • One-time password
  • Secure e-voting
  • Security voting
  • Transparency voting

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