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A hybrid cryptographic blockchain framework using hyperledger fabric and zero knowledge proofs for secure and verifiable electronic voting

Sep 2026 · Discover Internet of Things · Vol 6 · 0 citations · 55 references

TL;DR

A Hybrid Cryptographic and Enforced Blockchain Framework for Transparent and Secure E-Voting (HCE-VoteChain) that combines advanced cryptography along with the Hyperledger Fabric framework for end-to-end vote integrity and verifiability is presented.

Abstract

In the dynamic world of democratic governance, the transparency, security, and efficiency of the election systems are very crucial. This paper presents a Hybrid Cryptographic and Enforced Blockchain Framework for Transparent and Secure E-Voting (HCE-VoteChain) that combines advanced cryptography along with the Hyperledger Fabric framework for end-to-end vote integrity and verifiability. The proposed approach utilises Secure Hash Algorithm (SHA)-256 for end-to-end secure identity management, homomorphic encryption with Paillier, and vote confidentiality with Advanced Encryption Standard (AES)-256. At the same time, Elliptic Curve Digital Signature Algorithm (ECDSA) ensures authentication and integrity. Timestamping and smart contracts also ensure replay protection and vote validation, while a hybrid consensus from Proof of Authority (PoA) and Delegated Proof of Stake (DPoS) assures scalability and trust. For an additional level of auditability and privacy, the use case of Zero-Knowledge Proofs (ZKPs) and tamper-evident logs are implemented. The performance of HCE-VoteChain is validated through key parameters. The system achieves an average throughput of 288 TPS under benchmarked load conditions (1,000 transactions at a 200 TPS send rate), with an average end-to-end latency of 2.521 s. The individual vote processing time of 0.13 votes/sec reflects the sequential per-voter cryptographic pipeline (AES-256, ECDSA, Paillier, ZKP), which is distinct from the network-level throughput measured across concurrent transactions. The data immutability score of 0.999 quantifies the empirically observed tamper-resistance rate (i.e., the proportion of blocks found unaltered under simulated adversarial conditions), the security resilience value of 10,000 denotes the number of simulated adversarial probes resisted without a successful breach, and the fault tolerance of 0.96 represents the system uptime ratio under node-failure scenarios. These results highlight the feasibility of the proposed approach for the realization of large-scale, transparent, and secure digital elections, well-suited for the future of democratic participation.

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