Presentation on decentralised evoting systrm using blockchain concept

Evoting system

1. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Presented by 20P19 1BI20CS065 Gaurav Saraiwala 1BI20CS117 Nishit Khamesra Under the Guidance of 1BI20CS132 Priyam Dr. Hemavathi P 1BI20CS089 Katyayni Verma Associate Professor Computer Science & Engineering “ AI Driven Decentralised Voting System Using Blockchain ”

2. Introduction Literature Survey Existing System Problem Statement Proposed System Project Planning Sample Dataset Application References Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Agenda

3. Elections in a vast democracy like India should be open and fair but traditional methods are resource-intensive and can lead to issues like machine failures and violence. E-Voting System can address these drawbacks by offering accuracy, security, and flexibility. It uses biometric authentication, including Face Detection and Recognition, to enhance security and reduce voting time. Admins and users have separate logins for various functions. Voters identities are verified through biometrics, ensuring they are eligible to cast their votes, making the system an efficient and secure alternative to traditional methods for voter registration, casting, verification, and result announcement. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering INTRODUCTION

4. AI-driven decentralized voting systems using blockchain technology provide a heightened level of security by leveraging cryptographic principles. The immutability of the blockchain ensures that once a vote is recorded, it cannot be altered or tampered with, reducing the risk of fraud and manipulation. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering INTRODUCTION

5. To accomplish enhanced accessibility, the e-voting System will ensure that every eligible voter, regardless of their geographical location, can easily participate in the democratic process. To minimize voting-related issues, the system will address common issues such as machine failures and violence associated with traditional elections, ensuring a smoother and more peaceful voting experience. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering OBJECTIVES

6. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering To build trust and confidence in the democratic process, the Voting System will implement advanced biometric authentication methods, like Face Detection and Recognition, to strengthen the security of the voting system. This will safeguard the integrity of the election and ensure that only eligible voters can cast their ballots. To design a user-friendly platform, we aim to provide voters with an accessible and convenient system that allows them to participate in elections at their convenience, promoting higher voter turnout. OBJECTIVES

7. To implement resource optimization, the Voting System will reduce the burden on human and financial resources associated with traditional elections, making the process more cost-effective and sustainable. This will help streamline the electoral process and ensure the efficient allocation of resources. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering OBJECTIVES

8. 1 . BieVote: A Biometric Identification Enabled Blockchain-Based Secure and Transparent Voting Framework Authors - Md Jobair Hossain Faruk, Mazharul Islam, Fazlul Alam, Hossain Shahriar, Akond Rahman Year Published - Mar 2022, IEEE Access Proposed idea - The paper explores voting technology, online voting, and the integration of blockchain and biometrics, driven by concerns over transparency and security in current electronic voting systems. It presents a biometric-enabled e-Voting framework built on Hyperledger Fabric, detailing a high-level architectural framework and real-world implementation for improved voting integrity. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

9. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture : Figure 1. System Architecture

10. Methodology : The methodology encompasses the design, development, and implementation of a biometric-enabled e-Voting framework on Hyperledger Fabric, involving software development, integration of blockchain and biometric technologies, and real-world testing. Drawback : - The paper focuses on proposing a framework conceptually but doesn't provide empirical data or results from real-world implementation or testing. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

11. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering 2 . Investigation of E-voting system using face recognition using convolutional neural network (CNN) Authors - G. Revathy, K. Bhavana Raj, Anil Kumar, Spurthi Adibatti, Priyanka Dahiya, T.M. Latha Year Published - June 2022, Journal-Theoretical Computer Science, V olume 925 Proposed ide a - The proposed E-voting system combines face recognition with Convolutional Neural Networks (CNN) and blockchain technology to enable secure remote voting, addressing accessibility challenges. It ensures a trustworthy process through blockchain and blind signature mechanisms, safeguarding the integrity and anonymity of the voting procedure.

12. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture: Figure 2. System Architecture

13. Methodology : Facial recognition was achieved through Convolutional Neural Networks (CNN), enhancing identity verification in the voting process. The utilization of blockchain technology and blind signature mechanisms ensured the security and anonymity of the voting system, bolstering trust and integrity. Drawback : The system's effectiveness is contingent on the precision of facial recognition, and addressing potential challenges and adoption barriers is crucial for its successful implementation. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

14. 3 .Analysis of Blockchain Solutions for E-Voting: A Systematic Literature Review Authors - A li Benabdalla h , Antoine A udras , L ouis C oudret , N our E l M adhoun , M ohamad B adra Year Published - Jul 2022, IEEE Acess Digital Object Identifier 10.1109/ACCESS.2022.3187688, Proposed idea - Allow voters to cast their ballots remotely, using a secure and user-friendly interface, for increased inclusivity and security. The blockchain would be used to store and verify the votes, ensuring that they are counted accurately and cannot be tampered with. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

15. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Block Diagram: Figure 3. Components of System

16. Methodology : We have multiple phases in the process as : Design phase, Development phase , Testing , Deployment , expose to voters. The algorithms involves consensus mechanism, which ensures that all nodes in the blockchain network agree on the validity of each vote. Drawback : Potential for voter coercion or manipulation, the need for secure and user-friendly interfaces, and the scalability of the system. Narrow focus, lack of comprehensive coverage of cyber threats, insufficient detail on data collection and analysis methods, scalability, cost, and accessibility issues. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

17. 4 . Distributed-Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis Authors - Rupa Ch, Jaya Kumari D, Thippa Reddy Gadekallu, Celestine Iwendi Year Published - Oct 202 2 , Journals- Electronics , 11 (20) Proposed idea - Leverage blockchain technology to create a scalable and secure blockchain-based electronic voting system that can be used in various scenarios. Blockchain technology can provide end-to-end verification, distributed non-repudiation, and security protection characteristics that make it an excellent alternative to traditional electronic voting systems. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

18. Architecture : Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Figure 4. System Architecture

19. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Methodology : Leveraging Hyperledger Caliper to evaluate the performance of the system. A performance-driven framework for mass e-voting is used to evaluate the scalability and performance of the system. The methodology also involves using cryptographic signatures known as hashes to record transactions for the online voting process. Drawback : Potential security and transparency concerns with online e-voting systems. Need for practical security of remote participation and the need to address transaction speed issues.

20. 5 . A remote and cost-optimized voting system using blockchain and smart contract Authors - Mohammad Nabiluzzaman Neloy, Md. Abdul Wahab, Sheikh Wasif, Abdulla All Noman, Mustafizur Rahaman, Tahmid Hasan Pranto, A. K. M. Bahalul Haque, Rashedur M. Rahman Year Published - Dec 2022, IET Blockchain Proposed idea - The proposed remote voting system leverages blockchain and AI to establish a trustworthy and optimized solution. It combines the transparency and security of blockchain technology with AI's efficiency, ensuring reliable and convenient remote voting for enhanced democratic participation. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

21. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture: Figure 5. System Architecture

22. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Methodology : Use of blockchain technology, smart contracts, and AI algorithms. Algorithms like M ultilayer verification system, tamper-proof and automated vote-counting mechanism, and stimulus incentive mechanism algorithms are used to ensure the security, transparency, and anonymity of the voting process. Drawback : A need for a reliable internet connection, the possibility of cyber attacks, and the potential for voter fraud. Requirement of a certain level of technical expertise to use the system, which may limit its accessibility to some voters.

23. 6 . AI and core electoral processes: Mapping the horizons Authors - Deepak P, Stanley Simoes, Muiris MacCarthaigh Year Published – Feb 202 3 , Journal Proposed idea - This system reveals five key avenues: optimizing voter list maintenance, efficiently determining polling booth locations, predicting problematic booths, enhancing voter authentication,bolstering election monitoring(video surveillance). While AI promises efficiency, its usage also raises concerns about data security, algorithmic biases, and potential manipulation. To address these risks, mitigation strategies involving transparent algorithm development, robust cybersecurity measures Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

24. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture: Figure 6. System Architecture

25. Methodology : This paper introduces a comprehensive conceptual framework aimed at mitigating security and privacy challenges in cloud computing. By emphasizing multi-layered encryption, identity management, and strict access controls, it provides a structured approach to safeguard data and user privacy within cloud environments. Drawback : E thical concerns related to surveillance, ensuring data privacy, and mitigating false positives/negatives in identifying suspicious activities. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

26. 7 . Blockchain-Based Secure Voting Mechanism Underlying 5G Network: A Smart Contract Approach Authors - Sachi Chaudhary, Shail Shah, Riya Kakkar, Rajesh Gupta, Abdulatif, Sudeep Tanwar, Gulshan Sharma and Pitshou N. Bokoro Year Published - Jul 2023, Journal- Digital Object Identifier 10.1109/ACCESS.2023.3297492 Proposed idea - It entails the development of a secure e-voting system that integrates blockchain and IPFS technology over a 5G wireless network. This system ensures a transparent and reliable voting environment, featuring a smart contract for secure data storage and protection against manipulation. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

27. Architecture : Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Figure 7. System Architecture

28. Methodology : Involves designing a secure e-voting system by integrating blockchain and IPFS. Leverages the 5G wireless network for efficient communication and employs smart contracts for secure data storage. The proposed system leads to performance evaluation, security analysis, and cost comparisons to validate its effectiveness and reliability. Drawback : Complexity of integrating multiple technologies like blockchain, IPFS, and 5G.Increased development and maintenance costs, security issues. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

29. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering 8 . Secure Voting Website Using Ethereum and Smart Contracts Authors - Abhay Singh , Ankush Ganesh , Rutuja Rajendra Patil , Sumit Kumar, Ruchi Rani and Sanjeev Kumar Pippal Year Published – Aug 202 3 , Journals ASI Volume 6 Issue 4 Proposed idea - A novel blockchain-based voting system leveraging smart contracts was developed, utilizing the Ethereum framework for decentralization. Secure voter registration was achieved through Firebase Cloud integration, and AI/ML-based face recognition authentication bolstered security. Extensive validation tests were conducted to assess functionality, security measures, overall user experience, ensuring a robust ,user-friendly voting solution.

30. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture: Figure 8. System Architecture

31. Methodology : Development was executed on Ganache, a private Ethereum platform, while data security was reinforced through SHA-256 hashing and AES-256 encryption. The system's robustness was confirmed with a successful test involving 1000 votes, reaching an efficiency rate of 80%. Moreover, extensive validation through simulations and user studies ensured the system's accuracy, security, and user-friendliness, marking a significant step toward a reliable blockchain-based voting solution. Drawback : Centralization risks from computing power, immutability error correction challenges, and preserving complete voter anonymity are key concerns in blockchain-based voting systems. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

32. 9 . FACIAL RECOGNITION SERVICES IN THE E-VOTING SYSTEM USING BLOCKCHAIN Authors - Dr. P. Nagaraj, G. Swetha, Md. Adnan Ahmad, A. Sai Nikhil, P. Akshath Kumar, B. Ganesh Year Published - 2023, Eur. Chem. Bull. 2023, 12( Issue 8),1695-1703 Proposed idea - This innovative electronic voting system combines deep learning and facial recognition for user verification. It leverages Ethereum and blockchain technology to establish OTP authentication and secure data storage, featuring a well-defined system architecture encompassing both admin and user modules, ensuring a strong, user-friendly voting solution. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

33. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture : Figure 9. System Architecture

34. Methodology : This advanced voting system capitalizes on Ethereum and blockchain technology for OTP authentication and secure data storage. It enhances security through facial recognition and incorporates a double verification system. Furthermore, it offers the convenience of remote voting via the internet and SMS, making the electoral process more accessible and secure. Drawback : Scalability, processing overheads, and technological complexities Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

35. 10. Decentralized Automated Online Voting System using Blockchain Technology Authors - Polepaka Sanjeeva, M. Sai Sathwik, G. SaiPrasad, G. Praneeth Reddy, Vijaylakshmi Sajwan, Bande Ganesh Year Published – Oct 202 3 , Conference- E3S Web of Conference 430 Proposed idea - A decentralized online voting system powered by blockchain, notably Ethereum, eliminates intermediaries, reducing costs and enhancing transparency through smart contracts. Future enhancements with biometric authentication will fortify security and accessibility in elections. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

36. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Architecture: Figure 10. System Architecture

37. Methodology : This voting system incorporates facial recognition for secure user authentication and employs blockchain technology to guarantee the transparency and immutability of votes. Integration with MetaMask streamlines wallet management, while administrative control and the deployment of smart contracts using Truffle enhance the system's efficiency and reliability. Drawback : Real-world testing is essential for assessment of its performance. Systems scalability and usability are still areas of improvement. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

38. At present there are two types of voting methods, they are: A. Ballot Voting B. EVM Voting Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering EXISTING SYSTEM

39. A. Ballot Voting A ballot is a device used to cast votes in an election, and may be a piece of paper used in secret voting. In this the voter is given a paper which consists of all the party symbols along with representative names in it. Here, people come to the polling booth, take the ballot paper and vote by putting a stamp on the desired party symbol. Finally, the ballot paper is folded and dropped into the ballot box. At last, the votes are counted by the Election commission officers. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering EXISTING SYSTEM

40. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering EXISTING SYSTEM B. EVM (Electronic Voting Machine) Voting The existing voting system in India relies on EVMs where voters select a party symbol and representative by pressing a button. After voting, EVMs are sealed, transported, and counted centrally under security supervision. EVMs are connected to a Counting Control Unit (CCU) for electronic vote tabulation. Voter-Verified Paper Audit Trails (VVPATs) are sometimes used to print paper records for manual verification.

41. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Limitations The ballot papers may be lost at the time of counting which may affect results of the particular area or people may miscount the number of votes which leads authority into wrong hands. EVM machines sometimes get corrupted and polling gets stopped temporarily and a lot of time is wasted or EVM may be tampered and the casted votes may be polled to a particular party only, even the vote is casted to different candidates or parties. EXISTING SYSTEM

42. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering PROBLEM STATEMENT To develop an AI-driven decentralized voting system using blockchain that incorporates face recognition technology to enhance the security, transparency, and accessibility of the voting process.

43. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering PROBLEM STATEMENT Input: Voter Data: This includes personal information about voter and biometric data(facial Recognition) Election and Candidate Details: Information on Election Types and Candidate details Output: The output includes election results and security logs for anomaly detection. Transaction Id and Vote Counts of each Candidate.

44. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering PROPOSED SYSTEM The proposed system modernizes the voting process through AI-driven voter registration, authentication, and blockchain-based digital ballot creation, enhancing security and accessibility. This innovation offers improved security and transparency by utilizing blockchain technology and cryptographic encryption, ensuring both anonymity and trustworthy result tabulation. Efficiency and accessibility are key features, simplifying the voting process and making it more user-friendly, ultimately contributing to a more open and fair democratic system in India.

45. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering AA Figure 11.System Architecture

46. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering PROJECT PLANNING

47. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering 2023-24 October November December January February March April May June Problem Identification Synopsis submission Literature Survey Phase 1 review Requirement analysis Conceptual Modelling S oftware Requirement Phase 2 review Implementation Optimization & Testing Project Delivery & Report Submission

48. SAMPLE DATA SET Voter Data: Voter ID Name Address Age Biometric data (e.g., facial recognition) Voting Transaction Id Candidate Data: Candidate ID Candidate name Region Political party affiliation Candidate's campaign information Vote Count (Contains Individual Voting Transaction Id) Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

49. Election Details: Election type (national, regional, local, organizational) Election date Data Visualization : Vote Count Of Individual Candidate Comparison Using Bar Chart Number Of Voters Registered and Number Of Voters Voted According to Voters Containing Individual Transaction Id Face Recognition : For Recognising Face, it contains a lot of points to clearly match. K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering Bangalore Institute of Technology

50. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering APPLICATIONS Enhancing transparency and security for national and regional elections . Enabling inclusive student council elections. Empowering community decision-making with secure voting. Ensuring accurate trade union elections and decision-making. Conducting online surveys and polls with enhanced security.

51. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering REFERENCES [1] Polepaka Sanjeeva, M. Sai Sathwik, G. SaiPrasad, G. Praneeth Reddy, Vijayalakshmi Sajwan, Bande Ganesh, “ Decentralized and Automated Online Voting System using Blockchain Technology ”, Conference- E3S Web of Conference 430, Oct- 2023. [2] Deepak P, Stanley Simoes, Muiris MacCarthaigh, “ AI and core electoral processes: Mapping the horizons ”, Journal , Feb-2023. [3] Abhay Singh , Ankush Ganesh , Rutuja Rajendra Patil , Sumit Kumar, Ruchi Rani and Sanjeev Kumar Pippal ,“ Secure Voting Website Using Ethereum and Smart Contracts ”, Journals ASI Issue 4 , Vol.6 , Aug-2023. [4] Dr. P. Nagaraj, G. Swetha, Md. Adnan Ahmad, A. Sai Nikhil, P. Akshath Kumar, B. Ganesh,“ FACIAL RECOGNITION SERVICES IN THE E-VOTING SYSTEM USING BLOCKCHAIN ”, Eur. Chem. Bull. Issue 8, Vol.12, 2023.

52. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering REFERENCES [5] Mohammad Nabiluzzaman Neloy, Md. Abdul Wahab, Sheikh Wasif, Abdulla All Noman, Mustafizur Rahaman, Tahmid Hasan Pranto, A. K. M. Bahalul Haque, Rashedur M. Rahman “ A remote and cost-optimized voting system using blockchain and smart contract ”,IET Blockchain , May-2023. [6] Sachi Chaudhary, Shail Shah, Riya Kakkar, Rajesh Gupta, Abdulatif, Sudeep Tanwar, Gulshan Sharma and Pitshou N. Bokoro , “ Blockchain-Based Secure Voting Mechanism Underlying 5G Network: A Smart Contract Approach” , Journal- Digital Object Identifie r 10.1109/ACCESS.2023.3297492 , 2023. [7] G. Revathy, K. Bhavana Raj, Anil Kumar, Spurthi Adibatti, Priyanka Dahiya, T.M. Latha,“ Investigation of E-voting system using face recognition using convolutional neural network (CNN) ”, Journal- Theoretical Computer Science , Vol. 925 , Jun - 2022 . [8] Rupa Ch, Jaya Kumari D, Thippa Reddy Gadekallu, Celestine Iwendi, “ Distributed -Ledger-Based Blockchain Technology for Reliable Electronic Voting System with Statistical Analysis ”, MDPI Journals- Electronics , Vol. 11 , Oct- 2022 .

53. REFERENCES [9] ALI BENABDALLAH1 , ANTOINE AUDRAS , LOUIS COUDERT , NOUR EL MADHOUN, AND MOHAMAD BADRA , “ Analysis of Blockchain Solutions for E-Voting: A Systematic Literature Review Authors ”, IEEE Acess Digital Object Identifier 10.1109/ACCESS.2022.3187688, Jul-2022. [10] Md Jobair Hossain Faruk, Mazharul Islam, Fazlul Alam, Hossain Shahriar, Akond Rahman,“ BieVote: A Biometric Identification Enabled Blockchain-Based Secure and Transparent Voting Framework ”, IEEE, Mar-2022. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering

54. Bangalore Institute of Technology K.R. Road, V.V. Pura, Bengaluru.-560004. D epartment of Computer Science & Engineering THANK YOU