Papers1 provider · 1 record
February 27, 2026· 2026 2nd International Conference on Big Data & Machine Learning (ICBDML)
conference-paper

Design And Implementation of a Privacy-Preserving, Multi-Tenant Cloud Voting System with Blockchain-Assisted Voter Anonymity and End-to-End Auditability

Authors:Allu Venkata SaiN. PurushothamSanapureddy PallaviTelugu Akula Nanda SaiAguru Venkat SaiJavvaji Venkatarao

Abstract

This paper presents a structured review of secure, cloud ready, multi tenant blockchain voting systems with an emphasis on privacy guarantees, deterministic finality, and end to end verifiability. We synthesize advances in consensus PoS BFT hybrids privacy preserving cryptography commtments, nullifiers, and zero knowledge proofs and operational isolation for multi tenant deployments. We analyz threat models spanning malicious voters, operators, and partialy Byzantine validator sets, and summarize design patterns that reduce manipulation risk while retaining auditabilty. The review highlights open challenges in coercion resistance, scalable proof systems, and governance. We conclude with a design checklist and research directions for practical, verifiable e voting at institutional scale.

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