Evaluating the Security Impact of Face Recognition and IoT-Enabled Blockchain on Electronic Voting Machines

Electronic voting has seen persistent security and privacy issues preventing its widespread adoption and success. This research introduces a robust framework that leverages advanced hashing, encryption techniques with blockchain technology which enhance the security of voting transaction and authenticity of voter data. India, which is world's largest democracy, faces electoral challenges such as fake voting and tampering with Electronic Voting Machines (EVMs). Addressing these issues biometric-based voting system that verifies voter identity through fingerprint authentication is the suggested. This system ensures that each voter casts only one authenticated vote, adhering to the principle of "Single voter, Single authenticated vote". Proposed biometric prototype for voting machine and its integration with the Aadhar database can be maintained by the help of Unique Identification Authority of India (UIDAI). This advancement can significantly enhance the device's application at the national level, making it feasible for use in elections across the country. By implementing this biometric-based voting system, efficiency improvement and by implementing blockchain transparency, security, and efficiency achieved. The proposed framework strengthens the electoral process's integrity, transparent, secure, and efficient voting system.