Performance Assessment of an Enhanced Crystographic Model for Secure E-Voting

Abstract

In this paper, we present qualitative performance assessment of an imperceptible and robust crystographic model of secure electronic voting. The performance analysis was achieved based on the degree to which the model meets the generic and functional requirements of secured e-voting system: authentication, integrity, confidentiality and verifiability using exploratory factor analysis, multiple correlations and non-parametric inferential test statistics. Further qualitative assessment results showed that the implemented model possessed capacity to guarantee and validate voters for who they are, guarantees the integrity of elections, guarantees the confidentiality of the vote and provide mechanism for fraud detection after the electioneering process in developing country where digital divide is significant