Enhancing Electoral Integrity: A Hybrid Blockchain-Based E-Voting System with Deep Learning and Post-quantum Cryptography
摘要
Voting is a fundamental right of citizens in a democratic country and crucial for any thriving democracy. Reliable voting systems are essential for free and fair elections in the modern era. Biometric Electronic Voting Machines (EVM) address many issues with paper ballot systems, but their closed-source nature undermines voter trust. Traditional election systems are also vulnerable to cyberattacks. This paper proposes a hybrid blockchain-based e-voting system (PQHAC-Bchain) to address the limitations of conventional e-voting systems and ensure a secure, auditable, tamper-proof, transparent, and privacy-preserving voting process. A scripting system for the Proposed blockchain facilitates a limited set of predefined operations for each layer, helping authoritative figures manage the election securely. This research uses Deepface face recognition and facial attribute analysis framework to confirm voter identity and prevent fraudulent voting. This research proposes a token-based approach to ensure secure and transparent voter identification while simultaneously preventing instances of double voting. This proposed blockchain system includes Post-quantum cryptography to protect against attacks from quantum computers. Through the integration of these technologies, an E-voting system that is both secure and transparent has been proposed in this paper. This system provides voters with the assurance that their votes are being accurately counted while safeguarding their privacy.