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7.883 Call For Paper

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Author(s):

M.Geetharani | G.Karthick | K.Kathiravan | R.Sathish | S.Karthikeyan
Keywords:

E-Voting, Blockchain, Hyperledger Fabric, Facial Recognition, Gesture Recognition, Multi-Factor Authentication, SHA-256.
Abstract:
Electronic Voting Systems Are Increasingly Adopted To Improve Efficiency And Accessibility In Modern Democratic Processes. However, Traditional And Centralized Voting Systems Suffer From Issues Such As Voter Impersonation, Lack Of Transparency, Centralized Control, And Vulnerability To Tampering. These Challenges Reduce Public Trust And Limit The Effectiveness Of Digital Voting Solutions. This Paper Proposes A Secure Multi- Factor Blockchain-based E-voting System Integrating Facial Recognition And Gesture- Based Interaction To Enhance Both Security And Usability. The System Employs Biometric Authentication To Verify Voter Identity And Uses Gesture Interaction As An Additional Confirmation Mechanism To Prevent Accidental Or Fraudulent Voting. Votes Are Encrypted Using SHA-256 Hashing And Stored In A Permissioned Blockchain Network Using Hyper Ledger Fabric, Ensuring Immutability, Transparency, And Auditability. The Proposed System Achieves Approximately 95% Authentication Accuracy, Prevents Duplicate Voting, And Ensures Voter Anonymity Through Identity– Vote Separation. Experimental Results Demonstrate That The System Improves Security, Accessibility, And Reliability Compared To Traditional And Centralized Voting Approaches.