Exploring blockchain-integrated voting system technologies

Kexin Zhang

doi:10.1117/12.3027111

1 April 2024 Exploring blockchain-integrated voting system technologies

Kexin Zhang

Proceedings Volume 13077, Fourth International Conference on Signal Processing and Machine Learning (CONF-SPML 2024); 1307705 (2024) https://doi.org/10.1117/12.3027111
Event: 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2024), 2024, Chicago, IL, United States

Abstract

Blockchain stands as a paramount research focus in the current technological landscape. While significant progress has been observed in digital currencies such as Bitcoin and Ethereum, a notable research void persists concerning voting systems. This manuscript underscores the merits of blockchain-based voting mechanisms. Embracing blockchain technology can bolster the authenticity and transparency of electoral outcomes, tackle the intricacies of identity verification, and thwart malicious incursions or unauthorized alterations of results. Utilizing the Solidity programming language, a smart contract is crafted to orchestrate a fundamental voting paradigm. The article delineates the logical architecture underpinning this smart contract. A synthesis of existing literature discerns the quintessential functions vital for a robust voting system. In a detailed exposition, the testing procedures for various functionalities of this smart contract are unveiled. To conclude, the discourse suggests a compendium of supplementary features that, when integrated, could enhance the practicality and efficacy of the smart contract in future iterations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kexin Zhang "Exploring blockchain-integrated voting system technologies", Proc. SPIE 13077, Fourth International Conference on Signal Processing and Machine Learning (CONF-SPML 2024), 1307705 (1 April 2024); https://doi.org/10.1117/12.3027111

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available