PHANTOM protocol as the new crypto-democracy

Gautam Srivastava*, Ashutosh Dhar Dwivedi, Rajani Singh

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

34 Citations (Scopus)

Abstract

One of the biggest problems plaguing society today is that of fraudulent elections. The world’s largest democracies still suffer from flawed electoral systems. In current voting systems, we see problems with vote rigging, hacking of the EVM (Electronic voting machine), election manipulation, and polling booth capturing. Looking closely at the current Cambridge Analytica scandal brings the validity of current voting systems into question. In this paper, we propose a novel voting model which can resolve these issues. Using a recently introduced blockchain protocol called PHANTOM, we try to alleviate known problems in voting systems. Furthermore, the advantage of using our model is, it is compatible with all voting schemes. So, one can implement our model using any voting scheme depending on the requirement of different type of elections.

Original languageEnglish
Title of host publicationComputer Information Systems and Industrial Management - 17th International Conference, CISIM 2018, Proceedings
EditorsWładysław Homenda, Khalid Saeed
Number of pages11
PublisherPhysica-Verlag
Publication date2018
Pages499-509
ISBN (Print)9783319999531
DOIs
Publication statusPublished - 2018
Event17th International Conference on Computer Information Systems and Industrial Management, CISIM 2018 - Olomouc, Czech Republic
Duration: 27 Sept 201829 Sept 2018

Conference

Conference17th International Conference on Computer Information Systems and Industrial Management, CISIM 2018
Country/TerritoryCzech Republic
CityOlomouc
Period27/09/201829/09/2018
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11127 LNCS
ISSN0302-9743

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2018.

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