AI-Enhanced Privacy Preserving Blockchain Voting System with Zero Knowledge Verification and Off-Chain Storage

Author(s)	Ms. Dheepa B, Mr. John Bellarmine G A
Country	India
Abstract	Electronic voting systems offer improved efficiency and transparency but face challenges related to voter privacy, fraud detection, and scalability. This paper proposes an AI-enhanced privacy-preserving blockchain voting framework that integrates blockchain smart contracts, Zero-Knowledge Proofs (ZKP), InterPlanetary File System (IPFS)-based off-chain storage, and artificial intelligence-driven anomaly detection. Blockchain ensures tamper-proof vote recording, ZKP enables secure vote verification without revealing voter choices, and IPFS reduces on-chain storage overhead. The AI module detects suspicious voting behaviour using Isolation Forest and supervised learning models. Experimental evaluation demonstrates high fraud detection accuracy, improved storage efficiency, and low processing latency, making the proposed framework a secure, scalable, and intelligent solution for modern electronic voting systems.
Keywords	Blockchain Voting, Electronic Voting, Zero-Knowledge Proof (ZKP), InterPlanetary File System (IPFS), Artificial Intelligence (AI), Anomaly Detection, Smart Contracts, Privacy Preservation, Machine Learning, Cybersecurity
Field	Computer > Network / Security
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-08-06
DOI	https://doi.org/10.36948/ijfmr.2026.v08i04.85142

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research