AN IOT BASED EFFICIENT E-VOTING SYSTEM USING QR CODE AND EFFT-SWIFFT WITH BLOCKCHAIN FOR ENHANCED SECURITY AND TRANSPARENCY

To modernize the democratic voting process, electronic voting systems have appeared as a promising solution. Nevertheless, concerns about the disclosure of sensitive information and the potential compromise of voter privacy might be raised by the transparency of Blockchain (BC)-centric systems. For overcoming these challenges, an Efficient E-Voting System with a QR Code using Blockchain (EVS-QCB) is proposed in this research. To strike a balance between transparency and privacy, the proposed approach incorporates an authority management mechanism. The proposed E-Voting system includes a QR code-based multi-factor authentication mechanism, unlike conventional single-factor authentication system, reducing the risk of credential theft. The system begins with the Voter Registration Phase, where the voters register to the E-Voting system. For selecting relevant attributes from voter details, the system uses a Linear Scaling-based Fox Hunting Optimization Algorithm (LS-FHOA). Next, QR codes and smart contracts are generated and stored in a secure database. Voters authenticate through usernames, passwords, and QR codes during the voting phase, and the system ensures eligibility and prevents duplicate voting utilizing Smart Contracts. Using the Public key raised to the Power of Private key-Elliptic Curve Cryptography (P3-ECC) algorithm, the voting details are encrypted. Utilizing the Exponential Fast Fourier Transformation- Single-Window Iterative Fast Fourier Transform (EFFT-SWIFFT) hashing technique, the encrypted data is transformed into a unique hash code. The generated hash codes are securely stored in BC technology. During the vote counting time, the voting details are fetched from the BC and processed for determining the final results. Performance evaluations demonstrate superior execution time, security, and memory usage compared to baseline models. This work contributes to advancing blockchain-centric e-voting security while addressing authentication and privacy challenges.