Performance Assessment Of An Imperceptible And Robust Secured E-Voting Model

Abstract In this paper we present the performance assessment of an imperceptible and robust secured stegano-cryptographic model of 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 as well as other functional security requirements of a secured voting using five-point psychometric analysis. The result of the quantitative evaluation of the model assert that the model possessed capacity to guarantee and validate voters for who they said they are guarantees the integrity of elections ensures privacy of the voters guarantees the confidentiality of the vote and provide mechanism for fraud detection after the electioneering process in developing country where digital divide is significant.