Title: An efficient vote casting system with Aadhar verification through blockchain

Authors: Basetty Mallikarjuna; K. Sathish; J. Gitanjali; P. Venkata Krishna

Addresses: School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, 203201, India ' Tirumala Engineering College, Jonnalagadda, Narasaraopeta – 522601, Andhra Pradesh, India ' School of Information Technology and Engineering, VIT University, Vellore – 632014, Tamil Nadu, India ' Department of Computer Science Sri Padmavati Mahila Visvavidyalam, Padmavathi Nagar, Tirupati – 517502, Andhra Pradesh, India

Abstract: In the recent past security for vote casting system plays a vital role in the autonomous constitutional authority of election. A democratic country like India highly depends on the fail proof voting system to elect the government. The many security systems have evolved to ensure the electronic voting system to avoid malpractice during election. This paper describes an electoral system for the Indian election on blockchain technology and Aadhaar verification. The proposed system provides optimal security for the voting system and preserves votes stored in the electronic voting machine (EVM). The technology behind blockchain and Aadhaar verification are used to simplify the process of the voting system. The Aadhaar number has to be fetched and verified with the database after entering every vote on the machine. The information has to be verified for the vote of an individual to be accepted by EVM and stored in block chain ledger. All the confidential information is recorded in cloud using Internet of Things (IoT) thus providing cyber security from all vulnerability. The experimental results has proved that the proposed system is efficient and accuracy for providing security for voting system.

Keywords: Aadhar verification; Aadhar number; EVM; electronic voting machine; voting system; cyberattack; blockchain; IoT; internet of things; cloud computing; security; latency; Matlab; bit error rate; backward elimination ranking; signal noise ratio; probability of intrusion detection; false alarm.

DOI: 10.1504/IJSSE.2021.121439

International Journal of System of Systems Engineering, 2021 Vol.11 No.3/4, pp.237 - 256

Received: 27 May 2020
Accepted: 09 Nov 2020
Published online: 14 Mar 2022 *

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