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.
This research introduces a novel Unified Quantum-Resilient Blockchain-Zero Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF), which provides strong security and privacy solutions for Internet of Things networks by adopting multi-factor authentication and decentralizing identity management.
Uzma Shereen, Lubna Nausheen· American Journal of AI Cyber...· 0 citations
Comparative analysis against conventional systems and generic blockchain implementations confirms the superiority of the proposed approach in terms of security, efficiency, scalability, and privacy.
Ritika Bansal· International Journal of Adv...· 0 citations
The proposed algorithm presents a Blockchain-based Ring Signature with Multi-Designated Verifier and Zero-Knowledge Proof (BRSMDV-ZKP) that enables a signer anonymously authenticate a transaction with a group of public keys while ensuring that only designated verifiers can verify the signature.
T. S. Vasughi· Journal of Intelligent Decis...· 0 citations
Security and comparative analysis demonstrate that the described framework can provide better privacy protection and fine-grained access control, resist collusion and replay attacks, and is more advantageous than existing blockchain-based models of electronic evidence sharing.
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The primary mechanism usually used to preserve democracy in a particular society is election. Blockchain (BC) and other recent technology developments have previously been used in earlier projects to implement unconventional e-Voting systems. The primary objective of these suggestions is to retain openness, confidence,...
I. Begum, S. Khanam· International Journal of AI...· 0 citations
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