The word vote means to choose from a list, to elect or to agree on. The main goal of voting, in a scenario involving the citizens of a given country, is to come up with leaders of the people’s choice. Some of the problems involved in existing voting systems include vote rigging during election, insecure or inaccessible polling stations, inadequate polling materials and also inexperienced personnel. In the era of Internet of Things/Everything, it is decadent to say online voting is not secure.Rather we have to arise with Aadhaar as an enabler. Unique Identification Authority of India (UIDAI) ensures and slogs so that its ecosystem adopts measures to keep Central Identities Data Repository (CIDR) up to dateand safe. Also, in current situation where almost whole world is facing pandemic situation because of COVID-19, only E-services like E-Banking, E-Learning, E-voting are unaffectedly operational. Proposed system seeks to address these issues. Voters can vote from anywhere around the globe online, satisfying the condition that they have a valid Aadhaar card and they are registered voters. We are proposing multilevel voter identity protocol for secure online voting. We are naming our proposed work as COVID (Consolidate Online Voter IDentification) as it is merging CIDR with E-voting system. In this, the Aadhaar number authenticates Demographic details and fingerprints to develop an online identity service system. The paper is complemented with algorithms for Multiple Face detection, Eye-blinking detection or eye-tracking as a countermeasure against spoofing in face recognition systems. Objective of this work includes online voting system to automate the data flow and validating the system to ensure that only legible voters are permitted to vote and only once. Considering enormity of CIDR, scope of the work can be extended by incorporating iris detection system for authenticating voters. On the other hand, major challenge is to provide end to end security of Demographic details from CIDR to voting devices.
CITATION STYLE
Damdoo, R. (2020). Multilevel Voter Identity Protocol for Secure Online Voting. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3741–3745. https://doi.org/10.30534/ijatcse/2020/188932020
Mendeley helps you to discover research relevant for your work.