Bio-Crystographic Technique for Secure Electronic Voting System

Abstract

Democracy involves a system of governance where citizens are at liberty to actively participate in the nation’s decision-making process by means of election. However, elections in most developing countries characteristically involve rigging in form of ballot snatching, falsification of votes and votes’ manipulation during and after electoral processes. This can mar populace confidence in the entire electioneering process of democratic governance. This paper presents bio-crystographic technique for ensuring credibility during pre-electoral and post-electoral phases of an electioneering process. This integrated technique include: Gabor filter image enhancement scheme for biometric fingerprint trait for authenticating and validating valid voters and Lifting Wavelet Transform (LWT) based video Steganographic algorithm for ballot confidentiality, SHA 512/256 Hashing techniques for ballot integrity. Performance evaluation of these schemes resulted to an average Peak Signal to Noise Ratio (PSNR) of 66db. Also, the authentication scheme gives a False Acceptance Rate (FAR) of 0.0001% and a False Rejection Rate (FRR) of 0.1%. The results showed that the developed integrated schemes can effectively handle confidentiality, integrity and authentication issues in electronic voting systems in digitally divided electoral ecosystem