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 Evoting 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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