This paper presented a simulation model of an enhanced e-voting system based on bio-cryptographic schemes. A lot of work has been done on e-voting systems using biometrics as well as cryptographic schemes but not fusing both. This work provides an improvement on the already existing E-voting models by fusing and adopting biometric and cryptographic techniques as well as using a secure transmission channel for confidential datasets in the voting process. A model of an e-voting system leveraging on Biometric Encryption using Biometric key binding on fingerprints for the proposed SMARESIM (Self-monitoring analysis and reporting E-voting simulation model) has been developed and simulated. In the bio-cryptographic scheme, a digital key is randomly generated during enrollment. This key and the fingerprint are monolithically bound using cryptographic algorithms, that is, the randomly generated key is hidden within the biometric sample collected using bit replacement algorithms. When the user presents the fingerprint sample and it matches the biometrically encrypted key, the randomly generated key during enrollment will be regenerated and thus the user will be authenticated. The SMARESIM minimizes vulnerabilities associated with the conventional voting schemes, leading to minimization of electoral fraud.
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