A Study on Smart Electronics Voting Machine Using Face Recognition and Aadhar Verification with IOT

Srikrishnaswetha, Kone; Kumar, Sandeep; Mahmood, Rashid

doi:10.1007/978-981-13-3765-9_10

Cited by 24 publications

(8 citation statements)

References 7 publications

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“…Once the vote is cast, the vote will be stored in Cloud without the identity of the voter, but for the respective candidate and the voter will be notified about the vote via text message and, the Aadhaar card of the voter will be blocked further, to avoid multiple votes of same voter [15]- [17]. As the polling time ends the number of votes for candidates will be displayed along with the winner for each constituency instantaneously.…”

Section: Figure 1 Block Diagram Of Smart Voting Methods Based On Gree...mentioning

confidence: 99%

Green Cloud Based Efficient Security Mechanism for Aadhaar Voting System

Therese¹,

Dharanyadevi

George

et al. 2022

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)

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Elections are crucial in forming governments in countries like India. The value of democracy lies in the "Votes" flung by people, through which they elect their representatives for forming the government. At present Electronic Voting Machine (EVM) is used which has certain disadvantages with respect to security aspects. The main goal of the paper is to design a reliable voting machine with improved security and ease of accessibility while also addressing the shortcomings of the present system. Here, electronic components such as fingerprint sensors, microcontroller, LCD display and Global System for Mobile (GSM) modules are used. The entire process will take place in a secured green cloud domain, thereby reducing the security risks and utilize the computer infrastructure more efficiently with curtailed energy consumption.

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Section: Figure 1 Block Diagram Of Smart Voting Methods Based On Gree...mentioning

confidence: 99%

Green Cloud Based Efficient Security Mechanism for Aadhaar Voting System

Therese¹,

Dharanyadevi

George

et al. 2022

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)

View full text Add to dashboard Cite

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“…Three key goals can be accomplished with the help of the FP growth algorithm, a) The first of which is that the computing cost is significantly reduced and the database is only scanned twice [35].…”

Section: Fp-growthmentioning

confidence: 99%

Comparative Analysis of Algorithms for Mining Frequent Patterns

Priya¹

2023

IJRASET

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In the computerized world, everything is moving online, and data comes in different shapes and sizes and is collected in different ways. By using data mining, frequent pattern in the databases can be identified, and it can be used in numerous applications. Finding frequent patterns in huge databases is important because it reveals important information that cannot be found through simple data surfing. To find common patterns, a variety of methods are utilized, each of which performs differently. Apriori and FP Growth are the fundamental algorithms employed in frequent pattern mining. The functioning and experimental results of various algorithms are compared in this study, and their benefits and drawbacks are discussed.

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“…A decentralized multirole e-voting protocol over the cloud computing where each user independently shared, each subset of users creates a separate access structure and only shares a single target secret with a short secret share [24]. The E-Voting Cloud System (ECS) system verifies vote data via cloud computing and is highly secure with a cube data structure and a user differentiated system model that encrypts voter data using an encrypted model and ECSe [25]. Using a cloud computing infrastructure, electronic government services can become more sophisticated and inclusive.…”

Section: Iot and Cloud Computing In Electronic Election Voting Systemmentioning

confidence: 99%

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Vaqur

Kumar²,

Singh

et al. 2023

IJRITCC

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The election voting system is one of the essential pillars of democracy to elect the representative for ruling the country. In the election voting system, there are multiple areas such as detection of fake voters, illegal activities for fake voting, booth capturing, ballot monitoring, etc., in which Industry 4.0 can be adopted for the application of real-time monitoring, intelligent detection, enhancing security and transparency of voting and other data during the voting. According to previous research, there are no studies that have presented the significance of industry 4.0 technologies for improving the electronic voting system from a sustainability standpoint. To overcome the research gap, this study aims to present literature about Industry 4.0 technologies on the election voting system. We examined individual industry enabling technologies such as blockchain, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) that have the potential to strengthen the infrastructure of the election voting system. Based upon the analysis, the study has discussed and recommended suggestions for the future scope such as: IoT and cloud computing-based automatic systems for the detection of fake voters and updating voter attendance after the verification of the voter identity; AI-based illegal, and fake voting activities detection through vision node; blockchain-inspired system for the data integrity in between voter and election commission and robotic assistance system for guiding the voter and also for detecting disputes in the premises of election booth.

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A Study on Smart Electronics Voting Machine Using Face Recognition and Aadhar Verification with IOT

Cited by 24 publications

References 7 publications

Green Cloud Based Efficient Security Mechanism for Aadhaar Voting System

Green Cloud Based Efficient Security Mechanism for Aadhaar Voting System

Comparative Analysis of Algorithms for Mining Frequent Patterns

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

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