S. Gopinath, S. Pragadeswaran, P. Subaranjani, R. Mounitha, N. Parameshwari
{"title":"Ai Based Dual Authentication System","authors":"S. Gopinath, S. Pragadeswaran, P. Subaranjani, R. Mounitha, N. Parameshwari","doi":"10.46632/daai/2/4/29","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has demonstrated huge potential in a various real-world applications. However, some significant considerations like fairness, transparency and trustworthiness are still challenging when applying AI to trust-oriented applications such as E-voting. In this project, we aim to facilitate the consolidation of AI ecosystems by developing a blockchain-based traceable self-tallying E-voting system. The proposed system presents a novel voting system by using Fingerprint of Aadhar card. In E-voting system an voter can vote from anywhere as there will be two or more levels of authenticity checks. The system will act as registering module on activating switch by the super admin. For registering module, followed by the fingerprint verification. The system permits the elector to cast their vote, block chain technology comes into existence that is integrated within the machine. Each vote is added into each block encrypted by 256-bit SHA hash codes, the hashed block cannot be tampered by any individual as more security is added to the system. By adopting Blockchain within the distribution of information will scale back one in every of the cheating sources of database manipulation. The proposed mechanism of voting using Blockchain not only serves the election conducting bodies but also the voters who get notified in case of any meddling with their votes before the counting announcement.","PeriodicalId":76806,"journal":{"name":"Vital and health statistics. Ser. 4, Documents and committee reports","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vital and health statistics. Ser. 4, Documents and committee reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/daai/2/4/29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) has demonstrated huge potential in a various real-world applications. However, some significant considerations like fairness, transparency and trustworthiness are still challenging when applying AI to trust-oriented applications such as E-voting. In this project, we aim to facilitate the consolidation of AI ecosystems by developing a blockchain-based traceable self-tallying E-voting system. The proposed system presents a novel voting system by using Fingerprint of Aadhar card. In E-voting system an voter can vote from anywhere as there will be two or more levels of authenticity checks. The system will act as registering module on activating switch by the super admin. For registering module, followed by the fingerprint verification. The system permits the elector to cast their vote, block chain technology comes into existence that is integrated within the machine. Each vote is added into each block encrypted by 256-bit SHA hash codes, the hashed block cannot be tampered by any individual as more security is added to the system. By adopting Blockchain within the distribution of information will scale back one in every of the cheating sources of database manipulation. The proposed mechanism of voting using Blockchain not only serves the election conducting bodies but also the voters who get notified in case of any meddling with their votes before the counting announcement.