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Smart city article details
| Title | Intelligent Online Voting System For Twenty-First Century And Smart Cities 5.0: An Empirical Approach Through Blockchain With Ml Techniques |
|---|---|
| ID_Doc | 32470 |
| Authors | Rastogi R.; Arora P.; Dhamija L.; Shrivastava R. |
| Year | 2023 |
| Published | Lecture Notes in Electrical Engineering, 1056 LNEE |
| DOI | http://dx.doi.org/10.1007/978-981-99-3656-4_15 |
| Abstract | A digital voting system that allows people to vote sitting at their homes based on their face recognition. The traditional voting system does not allow people to vote while sitting in their homes. Considering the situation of COVID-19, everything is going digital. Questions on EVM from losing parties regarding some malfunctioning. Digital, secured, reliable, user-friendly, and a low-cost system. DDoS assaults, polling booth capturing, vote tampering and manipulation, malware attacks, and other security issues are all present in today’s voting systems. The voting process may be made more safe, transparent, immutable, and dependable by utilizing blockchain technology. Our current voting system is questioned by a variety of stakeholders, including political parties and ordinary citizens because votes are manipulated, citizens find voting a time-consuming task, and, most importantly, the current pandemic situation has digitized almost all areas of interest in our county. As a result, to resolve the issue produced by the physical voting system. The system we are creating is a blockchain-based decentralized app which uses machine learning for the identification of the user, it uses principles like face matching, checking confidence level, and then allows the user to vote based on the verification of her/his documents and eligibility to vote without compromising the right to vote anonymously. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Blockchain; e-Voting; End-to-end encryption; Machine learning; Online voting system |
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